{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T13:36:25Z","timestamp":1782740185998,"version":"3.54.5"},"reference-count":138,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2020,1,31]],"date-time":"2020-01-31T00:00:00Z","timestamp":1580428800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,31]],"date-time":"2020-01-31T00:00:00Z","timestamp":1580428800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["World Wide Web"],"published-print":{"date-parts":[[2020,5]]},"DOI":"10.1007\/s11280-019-00777-8","type":"journal-article","created":{"date-parts":[[2020,1,31]],"date-time":"2020-01-31T17:03:36Z","timestamp":1580490216000},"page":"1621-1664","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":37,"title":["Survey on user location prediction based on geo-social networking data"],"prefix":"10.1007","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5734-3616","authenticated-orcid":false,"given":"Shuai","family":"Xu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8012-4753","authenticated-orcid":false,"given":"Xiaoming","family":"Fu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2448-6717","authenticated-orcid":false,"given":"Jiuxin","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhixiao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,1,31]]},"reference":[{"key":"777_CR1","doi-asserted-by":"crossref","unstructured":"Assam, R., Seidl, T.: Check-in location prediction using wavelets and conditional random fields. In: 2014 IEEE International Conference on Data Mining, pp 713\u2013718. IEEE (2014)","DOI":"10.1109\/ICDM.2014.101"},{"issue":"1","key":"777_CR2","first-page":"1","volume":"V","author":"J Bao","year":"2012","unstructured":"Bao, J., Zheng, Y., Wilkie, D., F.Mokbel, M.: A survey on recommendations in location-based social networks. ACM Trans Intell Sys Technol (TIST) V(1), 1\u201330 (2012)","journal-title":"ACM Trans Intell Sys Technol (TIST)"},{"issue":"3","key":"777_CR3","doi-asserted-by":"publisher","first-page":"525","DOI":"10.1007\/s10707-014-0220-8","volume":"19","author":"J Bao","year":"2015","unstructured":"Bao, J., Zheng, Y., Wilkie, D., Mokbel, M.: Recommendations in location-based social networks: a survey. GeoInformatica 19(3), 525\u2013565 (2015)","journal-title":"GeoInformatica"},{"key":"777_CR4","unstructured":"Bart, E., Zhang, R., Hussain, M.: Where would you go this weekend? Time-dependent prediction of user activity using social network data. In: Seventh International AAAI Conference on Weblogs and Social Media (2013)"},{"key":"777_CR5","doi-asserted-by":"crossref","unstructured":"Cao, J., Xu, S., Zhu, X., Lv, R., Liu, B.: Efficient fine-grained location prediction based on user mobility pattern in lbsns. In: 2017 Fifth International Conference on Advanced Cloud and Big Data (CBD), pp 238\u2013243. IEEE (2017)","DOI":"10.1109\/CBD.2017.48"},{"key":"777_CR6","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1016\/j.jnca.2018.02.007","volume":"108","author":"J Cao","year":"2018","unstructured":"Cao, J., Xu, S., Zhu, X., Lv, R., Liu, B.: Effective fine-grained location prediction based on user check-in pattern in lbsns. J Netw Comput Appl 108, 64\u201375 (2018)","journal-title":"J Netw Comput Appl"},{"issue":"1","key":"777_CR7","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1007\/s10115-016-0936-x","volume":"50","author":"A Chauhan","year":"2017","unstructured":"Chauhan, A., Kummamuru, K., Toshniwal, D.: Prediction of places of visit using tweets. Knowledge and Information Systems 50(1), 145\u2013166 (2017)","journal-title":"Knowledge and Information Systems"},{"key":"777_CR8","doi-asserted-by":"crossref","unstructured":"Chen, M., Liu, Y., Yu, X.: Nlpmm: a next location predictor with markov modeling. In: Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp 186\u2013197. Springer (2014)","DOI":"10.1007\/978-3-319-06605-9_16"},{"key":"777_CR9","doi-asserted-by":"crossref","unstructured":"Chen, W., Yin, H., Wang, W., Zhao, L., Zhou, X.: Effective and efficient user account linkage across location based social networks. In: 2018 IEEE 34th International Conference on Data Engineering (ICDE), pp 1085\u20131096. IEEE (2018)","DOI":"10.1109\/ICDE.2018.00101"},{"key":"777_CR10","unstructured":"Cheng, C., Yang, H., King, I., Lyu, M.R.: Fused matrix factorization with geographical and social influence in location-based social networks. In: Twenty-Sixth AAAI Conference on Artificial Intelligence (2012)"},{"key":"777_CR11","unstructured":"Cheng, C., Yang, H., Lyu, M.R., King, I.: Where you like to go next: successive point-of-interest recommendation. In: Twenty-Third International Joint Conference on Artificial Intelligence (2013)"},{"key":"777_CR12","doi-asserted-by":"publisher","unstructured":"Cho, E., Myers, S.A., Leskovec, J.: Friendship and mobility: User movement in location-based social networks. In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD \u201911, pp 1082\u20131090. ACM, New York (2011). https:\/\/doi.org\/10.1145\/2020408.2020579","DOI":"10.1145\/2020408.2020579"},{"key":"777_CR13","doi-asserted-by":"crossref","unstructured":"Cho, Y.-S., Ver Steeg, G., Galstyan, A.: Where and why users \u201ccheck in\u201d. In: Twenty-Eighth AAAI Conference on Artificial Intelligence (2014)","DOI":"10.1609\/aaai.v28i1.8746"},{"key":"777_CR14","doi-asserted-by":"crossref","unstructured":"Chow, C.-Y., Mokbel, M.F.: Privacy of spatial trajectories. In: Computing with spatial trajectories, pp 109\u2013141. Springer (2011)","DOI":"10.1007\/978-1-4614-1629-6_4"},{"key":"777_CR15","doi-asserted-by":"crossref","unstructured":"Dong, Y., Chawla, N.V., Swami, A.: metapath2vec: scalable representation learning for heterogeneous networks. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp 135\u2013144. ACM (2017)","DOI":"10.1145\/3097983.3098036"},{"key":"777_CR16","unstructured":"Feng, S., Li, X., Zeng, Y., Cong, G., Chee, Y.M., Yuan, Q.: Personalized ranking metric embedding for next new POI recommendation. In: Twenty-Fourth International Joint Conference on Artificial Intelligence (2015)"},{"key":"777_CR17","doi-asserted-by":"crossref","unstructured":"Feng, S., Cong, G., An, B., Chee, Y.M.: Poi2vec: geographical latent representation for predicting future visitors. In: Thirty-First AAAI Conference on Artificial Intelligence (2017)","DOI":"10.1609\/aaai.v31i1.10500"},{"key":"777_CR18","unstructured":"Gao, H., Tang, J., Liu, H.: Exploring social-historical ties on location-based social networks. In: Sixth International AAAI Conference on Weblogs and Social Media (2012)"},{"key":"777_CR19","doi-asserted-by":"crossref","unstructured":"Gao, H., Tang, J., Hu, X., Liu, H.: Exploring temporal effects for location recommendation on location-based social networks. In: Proceedings of the 7th ACM Conference on Recommender Systems, pp 93\u2013100. ACM (2013)","DOI":"10.1145\/2507157.2507182"},{"key":"777_CR20","doi-asserted-by":"crossref","unstructured":"Gao, H., Tang, J., Hu, X., Liu, H.: Modeling temporal effects of human mobile behavior on location-based social networks. In: Proceedings of the 22nd ACM International Conference on Information & Knowledge Management, pp 1673\u20131678. ACM (2013)","DOI":"10.1145\/2505515.2505616"},{"key":"777_CR21","doi-asserted-by":"crossref","unstructured":"Gao, H., Tang, J., Hu, X., Liu, H.: Content-aware point of interest recommendation on location-based social networks. In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, AAAI\u201915, pp 1721\u20131727. AAAI Press (2015)","DOI":"10.1609\/aaai.v29i1.9462"},{"key":"777_CR22","doi-asserted-by":"crossref","unstructured":"Grover, A., Leskovec, J.: node2vec: Scalable feature learning for networks. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge discovery and data mining, pp 855\u2013864. ACM (2016)","DOI":"10.1145\/2939672.2939754"},{"key":"777_CR23","doi-asserted-by":"crossref","unstructured":"He, J., Li, X., Liao, L., Song, D., Cheung, W.K.: Inferring a personalized next point-of-interest recommendation model with latent behavior patterns. In: Thirtieth AAAI Conference on Artificial Intelligence (2016)","DOI":"10.1609\/aaai.v30i1.9994"},{"key":"777_CR24","doi-asserted-by":"crossref","unstructured":"He, J., Li, X., Liao, L.: Category-aware next point-of-interest recommendation via listwise Bayesian personalized ranking.. In: IJCAI, pp 1837\u20131843 (2017)","DOI":"10.24963\/ijcai.2017\/255"},{"key":"777_CR25","doi-asserted-by":"crossref","unstructured":"He, X., Liao, L., Zhang, H., Nie, L., Hu, X., Chua, T.-S.: Neural collaborative filtering. In: Proceedings of the 26th International Conference on World Wide Web, pp 173\u2013182. International World Wide Web Conferences Steering Committee (2017)","DOI":"10.1145\/3038912.3052569"},{"key":"777_CR26","doi-asserted-by":"crossref","unstructured":"He, J., Li, X., Liao, L., Wang, M.: Inferring continuous latent preference on transition intervals for next point-of-interest recommendation. In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp 741\u2013756. Springer (2018)","DOI":"10.1007\/978-3-030-10928-8_44"},{"key":"777_CR27","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1007\/978-3-319-08786-3_8","volume-title":"User Modeling, Adaptation, and Personalization","author":"Eelco Herder","year":"2014","unstructured":"Herder, E., Siehndel, P., Kawase, R.: Predicting user locations and trajectories. In: User Modeling, Adaptation, and Personalization, pp 86\u201397. Springer, Cham (2014)"},{"key":"777_CR28","doi-asserted-by":"crossref","unstructured":"Hristova, D., Williams, M.J., Musolesi, M., Panzarasa, P., Mascolo, C.: Measuring urban social diversity using interconnected geo-social networks. In: Proceedings of the 25th international conference on World Wide Web, pp 21\u201330. International World Wide Web Conferences Steering Committee (2016)","DOI":"10.1145\/2872427.2883065"},{"key":"777_CR29","doi-asserted-by":"crossref","unstructured":"Hu, T., Song, R., Wang, Y., Xie, X., Luo, J.: Mining shopping patterns for divergent urban regions by incorporating mobility data. In: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, pp 569\u2013578. ACM (2016)","DOI":"10.1145\/2983323.2983803"},{"key":"777_CR30","doi-asserted-by":"crossref","unstructured":"Hu, B., Shi, C., Zhao, W.X., Yu, P.S.: Leveraging meta-path based context for top-n recommendation with a neural co-attention model. In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp 1531\u20131540. ACM (2018)","DOI":"10.1145\/3219819.3219965"},{"issue":"1","key":"777_CR31","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1109\/TBDATA.2016.2541160","volume":"2","author":"S Jiang","year":"2016","unstructured":"Jiang, S., Qian, X., Mei, T., Fu, Y.: Personalized travel sequence recommendation on multi-source big social media. IEEE Transactions on Big Data 2 (1), 43\u201356 (2016)","journal-title":"IEEE Transactions on Big Data"},{"key":"777_CR32","doi-asserted-by":"crossref","unstructured":"Jiang, Y., He, W., Cui, L., Yang, Q.: User location prediction in mobile crowdsourcing services. In: International Conference on Service-Oriented Computing, pp 515\u2013523. Springer (2018)","DOI":"10.1007\/978-3-030-03596-9_37"},{"key":"777_CR33","doi-asserted-by":"crossref","unstructured":"Karimzadeh, M., Zhao, Z., Gerber, F., Braun, T.: Mobile users location prediction with complex behavior understanding. In: 2018 IEEE 43rd Conference on Local Computer Networks (LCN), pp 323\u2013326. IEEE (2018)","DOI":"10.1109\/LCN.2018.8638045"},{"key":"777_CR34","doi-asserted-by":"crossref","unstructured":"Kodama, K., Iijima, Y., Guo, X., Ishikawa, Y.: Skyline queries based on user locations and preferences for making location-based recommendations. In: Proceedings of the 2009 International Workshop on Location Based Social Networks, pp 9\u201316. ACM (2009)","DOI":"10.1145\/1629890.1629893"},{"key":"777_CR35","doi-asserted-by":"crossref","unstructured":"Kounev, V.: Where will I go next?: predicting future categorical check-ins in location based social networks. In: 8th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), pp 605\u2013610. IEEE (2012)","DOI":"10.4108\/icst.collaboratecom.2012.250536"},{"key":"777_CR36","doi-asserted-by":"crossref","unstructured":"Kurashima, T., Iwata, T., Hoshide, T., Takaya, N., Fujimura, K.: Geo topic model: joint modeling of user\u2019s activity area and interests for location recommendation. In: Proceedings of the sixth ACM international conference on Web search and data mining, pp 375\u2013384. ACM (2013)","DOI":"10.1145\/2433396.2433444"},{"key":"777_CR37","doi-asserted-by":"crossref","unstructured":"Li, X., Cong, G., Li, X.-L., Pham, T.-A. N., Krishnaswamy, S.: Rank-geofm: a ranking based geographical factorization method for point of interest recommendation. In: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp 433\u2013442. ACM (2015)","DOI":"10.1145\/2766462.2767722"},{"key":"777_CR38","doi-asserted-by":"crossref","unstructured":"Li, X., Pham, T.-A.N., Cong, G., Yuan, Q., Li, X.-L., Krishnaswamy, S.: Where you instagram?: associating your instagram photos with points of interest. In: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, pp 1231\u20131240. ACM (2015)","DOI":"10.1145\/2806416.2806463"},{"key":"777_CR39","doi-asserted-by":"crossref","unstructured":"Li, H., Ge, Y., Hong, R., Zhu, H.: Point-of-interest recommendations: learning potential check-ins from friends. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp 975\u2013984. ACM (2016)","DOI":"10.1145\/2939672.2939767"},{"key":"777_CR40","doi-asserted-by":"crossref","unstructured":"Li, J., Dani, H., Hu, X., Tang, J., Chang, Y., Liu, H.: Attributed network embedding for learning in a dynamic environment. In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, pp 387\u2013396. ACM (2017)","DOI":"10.1145\/3132847.3132919"},{"key":"777_CR41","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3057283","volume":"35","author":"X Li","year":"2017","unstructured":"Li, X., Jiang, M., Hong, H., Liao, L.: A time-aware personalized point-of-interest recommendation via high-order tensor factorization. ACM Trans. Inform. Sys. 35, 1\u201323 (2017). https:\/\/doi.org\/10.1145\/3057283","journal-title":"ACM Trans. Inform. Sys."},{"key":"777_CR42","doi-asserted-by":"crossref","unstructured":"Lian, D., Zhao, C., Xie, X., Sun, G., Chen, E., Rui, Y.: Geomf: joint geographical modeling and matrix factorization for point-of-interest recommendation. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp 831\u2013840. ACM (2014)","DOI":"10.1145\/2623330.2623638"},{"issue":"1","key":"777_CR43","first-page":"8","volume":"6","author":"D Lian","year":"2015","unstructured":"Lian, D., Xie, X., Zheng, V.W., Yuan, N.J., Zhang, F., Chen, E.: Cepr: a collaborative exploration and periodically returning model for location prediction. ACM Trans. Intell. Sys. Technol. (TIST) 6(1), 8 (2015)","journal-title":"ACM Trans. Intell. Sys. Technol. (TIST)"},{"issue":"3","key":"777_CR44","first-page":"33","volume":"36","author":"D Lian","year":"2018","unstructured":"Lian, D., Zheng, K., Ge, Y., Cao, L., Chen, E., Xie, X.: Geomf++: Scalable location recommendation via joint geographical modeling and matrix factorization. ACM Trans. Inform. Sys. (TOIS) 36(3), 33 (2018)","journal-title":"ACM Trans. Inform. Sys. (TOIS)"},{"key":"777_CR45","doi-asserted-by":"publisher","first-page":"711","DOI":"10.1007\/978-3-319-57454-7_55","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"Dongliang Liao","year":"2017","unstructured":"Liao, D., Zhong, Y., Li, J.: Location prediction through activity purpose: integrating temporal and sequential models. In: Kim, J., Shim, K., Cao, L., Lee, J.-G., Lin, X., Moon, Y.-S. (eds.) Advances in Knowledge Discovery and Data Mining, pp 711\u2013723. Springer, Cham (2017)"},{"key":"777_CR46","doi-asserted-by":"publisher","unstructured":"Likhyani, A., Padmanabhan, D., Bedathur, S., Mehta, S.: Inferring and exploiting categories for next location prediction. In: Proceedings of the 24th International Conference on World Wide Web, WWW\u2019 15 Companion, pp 65\u201366. ACM, New York (2015), https:\/\/doi.org\/10.1145\/2740908.2742770","DOI":"10.1145\/2740908.2742770"},{"key":"777_CR47","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.pmcj.2013.06.005","volume":"12","author":"M Lin","year":"2014","unstructured":"Lin, M., Hsu, W.-J.: Mining GPS data for mobility patterns: a survey. Pervasive and Mobile Computing 12, 1\u201316 (2014)","journal-title":"Pervasive and Mobile Computing"},{"key":"777_CR48","doi-asserted-by":"crossref","unstructured":"Liu, B., Fu, Y., Yao, Z., Xiong, H.: Learning geographical preferences for point-of-interest recommendation. In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp 1043\u20131051. ACM (2013)","DOI":"10.1145\/2487575.2487673"},{"issue":"6","key":"777_CR49","doi-asserted-by":"publisher","first-page":"1232","DOI":"10.1002\/asi.23050","volume":"65","author":"B Liu","year":"2014","unstructured":"Liu, B., Yuan, Q., Cong, G., Xu, D.: Where your photo is taken: Geolocation prediction for social images. J. Association Inform. Sci. Technol. 65(6), 1232\u20131243 (2014)","journal-title":"J. Association Inform. Sci. Technol."},{"issue":"5","key":"777_CR50","doi-asserted-by":"publisher","first-page":"1167","DOI":"10.1109\/TKDE.2014.2362525","volume":"27","author":"B Liu","year":"2015","unstructured":"Liu, B., Xiong, H., Papadimitriou, S., Fu, Y., Yao, Z.: A general geographical probabilistic factor model for point of interest recommendation. IEEE Transactions on Knowledge and Data Engineering 27(5), 1167\u20131179 (2015)","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"777_CR51","doi-asserted-by":"crossref","unstructured":"Liu, Q., Wu, S., Wang, L., Tan, T.: Predicting the next location: a recurrent model with spatial and temporal contexts. In: Thirtieth AAAI Conference on Artificial Intelligence (2016)","DOI":"10.1609\/aaai.v30i1.9971"},{"issue":"10","key":"777_CR52","doi-asserted-by":"publisher","first-page":"1010","DOI":"10.14778\/3115404.3115407","volume":"10","author":"Y Liu","year":"2017","unstructured":"Liu, Y., Pham, T.-A. N., Cong, G., Yuan, Q.: An experimental evaluation of point-of-interest recommendation in location-based social networks. Proceedings of the VLDB Endowment 10(10), 1010\u20131021 (2017)","journal-title":"Proceedings of the VLDB Endowment"},{"key":"777_CR53","doi-asserted-by":"crossref","unstructured":"Liu, R., Cong, G., Zheng, B., Zheng, K., Han, S.: Location prediction in social networks. In: The 16th Asia-Pacific Web and Web-Age Information Management Joint International Conference on Web and Big Data, pp 151\u2013165. Springer (2018)","DOI":"10.1007\/978-3-319-96893-3_12"},{"key":"777_CR54","first-page":"91","volume-title":"Lecture Notes in Computer Science","author":"Yan Long","year":"2017","unstructured":"Long, Y., Zhao, P., Sheng, V.S., Liu, G., Xu, J., Wu, J., Cui, Z.: Social personalized ranking embedding for next POI recommendation. In: Web Information Systems Engineering \u2013 WISE 2017, pp 91\u2013105. Springer, Cham (2017)"},{"key":"777_CR55","doi-asserted-by":"crossref","unstructured":"Ma, C., Zhang, Y., Wang, Q., Liu, X.: Point-of-interest recommendation: exploiting self-attentive autoencoders with neighbor-aware influence. In: Proceedings of the 27th ACM International Conference on Information and Knowledge Management, pp 697\u2013706. ACM (2018)","DOI":"10.1145\/3269206.3271733"},{"key":"777_CR56","doi-asserted-by":"crossref","unstructured":"Ma, C., Kang, P., Wu, B., Wang, Q., Liu, X.: Gated attentive-autoencoder for content-aware recommendation. In: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM \u201919, pp 519\u2013527. ACM, New York (2019)","DOI":"10.1145\/3289600.3290977"},{"issue":"Nov","key":"777_CR57","first-page":"2579","volume":"9","author":"LVD Maaten","year":"2008","unstructured":"Maaten, L.V.D., Hinton, G.: Visualizing data using t-sne. J. Mach. Learn Res. 9(Nov), 2579\u20132605 (2008)","journal-title":"J. Mach. Learn Res."},{"key":"777_CR58","unstructured":"Manotumruksa, J., MacDonald, C., Ounis, I.: Modelling user preferences using word embeddings for context-aware venue recommendation. CoRR, arXiv:1606.07828 (2016)"},{"key":"777_CR59","doi-asserted-by":"crossref","unstructured":"Manotumruksa, J., Macdonald, C., Ounis, I.: Regularising factorised models for venue recommendation using friends and their comments. In: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, pp 1981\u20131984. ACM (2016)","DOI":"10.1145\/2983323.2983889"},{"key":"777_CR60","doi-asserted-by":"crossref","unstructured":"Manotumruksa, J., Macdonald, C., Ounis, I.: Matrix factorisation with word embeddings for rating prediction on location-based social networks. In: European Conference on Information Retrieval, pp 647\u2013654. Springer (2017)","DOI":"10.1007\/978-3-319-56608-5_61"},{"key":"777_CR61","doi-asserted-by":"crossref","unstructured":"Manotumruksa, J., Macdonald, C., Ounis, I.: A personalised ranking framework with multiple sampling criteria for venue recommendation. In: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, pp 1469\u20131478. ACM (2017)","DOI":"10.1145\/3132847.3132985"},{"key":"777_CR62","doi-asserted-by":"crossref","unstructured":"Manotumruksa, J., Macdonald, C., Ounis, I.: A contextual attention recurrent architecture for context-aware venue recommendation. In: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, pp 555\u2013564. ACM (2018)","DOI":"10.1145\/3209978.3210042"},{"key":"777_CR63","doi-asserted-by":"crossref","unstructured":"Matic, A., Oliver, N.: The untapped opportunity of mobile network data for mental health. In: Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare, pp 285\u2013288. ICST (Institute for Computer Sciences, Social-Informatics and ... (2016)","DOI":"10.4108\/eai.16-5-2016.2263783"},{"issue":"3","key":"777_CR64","doi-asserted-by":"publisher","first-page":"571","DOI":"10.1007\/s10115-018-1170-5","volume":"57","author":"P Mazumdar","year":"2018","unstructured":"Mazumdar, P., Patra, Bidyut Kr., Babu, K.S., Lock, R.: Hidden location prediction using check-in patterns in location-based social networks. Knowl. Inform. Sys. 57(3), 571\u2013601 (2018)","journal-title":"Knowl. Inform. Sys."},{"issue":"10","key":"777_CR65","first-page":"3111","volume":"29","author":"X Meng","year":"2018","unstructured":"Meng, X., Li, R., Zhang, Y., Ji, W.: Survey on mobile recommender systems based on user trajectory data. Ruan Jian Xue Bao\/Journal of Software(in Chinese) 29(10), 3111\u20133133 (2018)","journal-title":"Ruan Jian Xue Bao\/Journal of Software(in Chinese)"},{"key":"777_CR66","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. CoRR, arXiv:1301.3781 (2013)"},{"issue":"2","key":"777_CR67","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1111\/j.1467-8306.2004.09402005.x","volume":"94","author":"HJ Miller","year":"2004","unstructured":"Miller, H.J.: Tobler\u2019s first law and spatial analysis. Annals of the Association of American Geographers 94(2), 284\u2013289 (2004)","journal-title":"Annals of the Association of American Geographers"},{"key":"777_CR68","doi-asserted-by":"crossref","unstructured":"Nguyen, T.H., Nguyen, H.-H., Nguyen, T.-N.: A mobility prediction model for location-based social networks. In: The 8th Asian Conference on Intelligent Information and Database Systems, pp 106\u2013115. Springer (2016)","DOI":"10.1007\/978-3-662-49381-6_11"},{"key":"777_CR69","unstructured":"Noulas, A., Scellato, S., Mascolo, C., Pontil, M.: An empirical study of geographic user activity patterns in foursquare. In: Fifth international AAAI Conference on Weblogs and Social Media (2011)"},{"key":"777_CR70","doi-asserted-by":"crossref","unstructured":"Noulas, A., Scellato, S., Lathia, N., Mascolo, C.: Mining user mobility features for next place prediction in location-based services. In: 2012 IEEE 12th International Conference on Data Mining, pp 1038\u20131043. IEEE (2012)","DOI":"10.1109\/ICDM.2012.113"},{"issue":"3","key":"777_CR71","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1002\/isaf.1376","volume":"22","author":"DE O\u2019Leary","year":"2015","unstructured":"O\u2019Leary, D.E.: Twitter mining for discovery, prediction and causality: applications and methodologies. Intelligent Systems in Accounting, Finance and Management 22 (3), 227\u2013247 (2015)","journal-title":"Intelligent Systems in Accounting, Finance and Management"},{"key":"777_CR72","unstructured":"Ozsoy, M.G.: From word embeddings to item recommendation. arXiv:1601.01356 (2016)"},{"key":"777_CR73","doi-asserted-by":"crossref","unstructured":"Pang, J., Zhang, Y.: Exploring communities for effective location prediction. In: Proceedings of the 24th International Conference on World Wide Web, WWW \u201915 Companion, pp 87\u201388. ACM, New York (2015)","DOI":"10.1145\/2740908.2742720"},{"key":"777_CR74","doi-asserted-by":"crossref","unstructured":"Pennington, J., Socher, R., Manning, C.: Glove: global vectors for word representation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp 1532\u20131543 (2014)","DOI":"10.3115\/v1\/D14-1162"},{"key":"777_CR75","doi-asserted-by":"crossref","unstructured":"Perozzi, B., Al-Rfou, R., Skiena, S.: Deepwalk: Online learning of social representations. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge discovery and data mining, pp 701\u2013710. ACM (2014)","DOI":"10.1145\/2623330.2623732"},{"issue":"2","key":"777_CR76","first-page":"8","volume":"34","author":"C Petersen","year":"2016","unstructured":"Petersen, C., Simonsen, J.G., Lioma, C.: Power law distributions in information retrieval. ACM Trans. Inform. Sys. (TOIS) 34(2), 8 (2016)","journal-title":"ACM Trans. Inform. Sys. (TOIS)"},{"issue":"6","key":"777_CR77","doi-asserted-by":"publisher","first-page":"1219","DOI":"10.1007\/s11390-018-1883-7","volume":"33","author":"T-Y Qian","year":"2018","unstructured":"Qian, T.-Y., Liu, B., Hong, L., You, Z.-N.: Time and location aware points of interest recommendation in location-based social networks. J. Comput. Sci. Technol. 33(6), 1219\u20131230 (2018)","journal-title":"J. Comput. Sci. Technol."},{"key":"777_CR78","doi-asserted-by":"crossref","unstructured":"Rahimi, S.M., Wang, X.: Location recommendation based on periodicity of human activities and location categories. In: Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp 377\u2013389. Springer (2013)","DOI":"10.1007\/978-3-642-37456-2_32"},{"key":"777_CR79","unstructured":"Rendle, S., Freudenthaler, C., Gantner, Z., Schmidt-Thieme, L.: Bpr: Bayesian personalized ranking from implicit feedback. In: Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, pp 452\u2013461. AUAI Press (2009)"},{"key":"777_CR80","doi-asserted-by":"crossref","unstructured":"Rendle, S., Freudenthaler, C., Schmidt-Thieme, L.: Factorizing personalized markov chains for next-basket recommendation. In: Proceedings of the 19th International Conference on World Wide Web, pp 811\u2013820. ACM (2010)","DOI":"10.1145\/1772690.1772773"},{"key":"777_CR81","doi-asserted-by":"crossref","unstructured":"Saleem, M.A., Da Costa, F.S., Dolog, P., Karras, P., Pedersen, T.B., Calders, T.: Predicting visitors using location-based social networks. In: 2018 19th IEEE International Conference on Mobile Data Management (MDM), pp 245\u2013250. IEEE (2018)","DOI":"10.1109\/MDM.2018.00043"},{"key":"777_CR82","doi-asserted-by":"crossref","unstructured":"Scellato, S., Musolesi, M., Mascolo, C., Latora, V., Campbell, A.T.: Nextplace: a spatio-temporal prediction framework for pervasive systems. In: International Conference on Pervasive Computing, pp 152\u2013169. Springer (2011)","DOI":"10.1007\/978-3-642-21726-5_10"},{"issue":"1","key":"777_CR83","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1007\/s11276-016-1304-1","volume":"24","author":"M Sepahkar","year":"2018","unstructured":"Sepahkar, M., Khayyambashi, M.R.: A novel collaborative approach for location prediction in mobile networks. Wireless Networks 24(1), 283\u2013294 (2018)","journal-title":"Wireless Networks"},{"issue":"2","key":"777_CR84","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1109\/TKDE.2018.2833443","volume":"31","author":"C Shi","year":"2019","unstructured":"Shi, C., Hu, B., Zhao, W.X., Philip, S Yu: Heterogeneous information network embedding for recommendation. IEEE Trans. Knowl. Data Eng. 31(2), 357\u2013370 (2019)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"777_CR85","doi-asserted-by":"crossref","unstructured":"Shoji, Y., Takahashi, K., D\u00fcrst, M. J., Yamamoto, Y., Ohshima, H.: Location2vec: Generating distributed representation of location by using geo-tagged microblog posts. In: International Conference on Social Informatics, pp 261\u2013270. Springer (2018)","DOI":"10.1007\/978-3-030-01159-8_25"},{"key":"777_CR86","doi-asserted-by":"crossref","unstructured":"Sun, P., Wu, L., Wang, M.: Attentive recurrent social recommendation. In: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, pp 185\u2013194. ACM (2018)","DOI":"10.1145\/3209978.3210023"},{"key":"777_CR87","doi-asserted-by":"crossref","unstructured":"Wang, H., Terrovitis, M., Mamoulis, N.: Location recommendation in location-based social networks using user check-in data. In: Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp 374\u2013383. ACM (2013)","DOI":"10.1145\/2525314.2525357"},{"key":"777_CR88","doi-asserted-by":"crossref","unstructured":"Wang, P., Guo, J., Lan, Y., Xu, J., Wan, S., Cheng, X.: Learning hierarchical representation model for nextbasket recommendation. In: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp 403\u2013412. ACM (2015)","DOI":"10.1145\/2766462.2767694"},{"key":"777_CR89","doi-asserted-by":"crossref","unstructured":"Wang, Y., Yuan, N.J., Lian, D., Xu, L., Xie, X., Chen, E., Rui, Y.: Regularity and conformity: Location prediction using heterogeneous mobility data. In: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp 1275\u20131284. ACM (2015)","DOI":"10.1145\/2783258.2783350"},{"key":"777_CR90","doi-asserted-by":"crossref","unstructured":"Wang, W., Yin, H., Sadiq, S., Chen, L., Xie, M., Zhou, X.: Spore: a sequential personalized spatial item recommender system. In: 2016 IEEE 32nd International Conference on Data Engineering (ICDE), pp 954\u2013965. IEEE (2016)","DOI":"10.1109\/ICDE.2016.7498304"},{"key":"777_CR91","doi-asserted-by":"crossref","unstructured":"Wang, S., Wang, Y., Tang, J., Shu, K., Ranganath, S., Liu, H.: What your images reveal: exploiting visual contents for point-of-interest recommendation. In: Proceedings of the 26th International Conference on World Wide Web, pp 391\u2013400. International World Wide Web Conferences Steering Committee (2017)","DOI":"10.1145\/3038912.3052638"},{"issue":"6","key":"777_CR92","first-page":"61","volume":"9","author":"W Wang","year":"2018","unstructured":"Wang, W., Yin, H., Du, X., Nguyen, Q.V.H., Zhou, X.: Tpm: a temporal personalized model for spatial item recommendation. ACM Trans. Intell. Sys. Technol. (TIST) 9(6), 61 (2018)","journal-title":"ACM Trans. Intell. Sys. Technol. (TIST)"},{"key":"777_CR93","doi-asserted-by":"crossref","unstructured":"Wang, Y., Zhou, X., Noulas, A., Mascolo, C., Xie, X., Chen, E.: Predicting the spatio-temporal evolution of chronic diseases in population with human mobility data.. In: IJCAI, pp 3578\u20133584 (2018)","DOI":"10.24963\/ijcai.2018\/497"},{"key":"777_CR94","doi-asserted-by":"crossref","unstructured":"Wong, M.H., Tseng, V.S., Tseng, J.C., Liu, S., Tsai, C.: Long-term user location prediction using deep learning and periodic pattern mining. In: The 13th International Conference on Advanced Data Mining and Applications, pp 582\u2013594. Springer (2017)","DOI":"10.1007\/978-3-319-69179-4_41"},{"key":"777_CR95","unstructured":"Wu, L., Sun, P., Hong, R., Fu, Y., Wang, X., Wang, M.: Socialgcn: an efficient graph convolutional network based model for social recommendation. arXiv:1811.02815 (2018)"},{"issue":"2","key":"777_CR96","doi-asserted-by":"publisher","first-page":"108","DOI":"10.26599\/BDMA.2018.9020010","volume":"1","author":"R Wu","year":"2018","unstructured":"Wu, R., Luo, G., Shao, J., Tian, L., Peng, C.: Location prediction on trajectory data: a review. Big Data Mining and Analytics 1(2), 108\u2013127 (2018)","journal-title":"Big Data Mining and Analytics"},{"key":"777_CR97","doi-asserted-by":"crossref","unstructured":"Wu, L., Sun, P., Fu, Y., Hong, R., Wang, X., Wang, M.: A neural influence diffusion model for social recommendation. arXiv:1904.10322 (2019)","DOI":"10.1145\/3331184.3331214"},{"key":"777_CR98","doi-asserted-by":"crossref","unstructured":"Xie, M., Yin, H., Wang, H., Xu, F., Chen, W., Wang, S.: Learning graph-based POI embedding for location-based recommendation. In: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, pp 15\u201324. ACM (2016)","DOI":"10.1145\/2983323.2983711"},{"key":"777_CR99","doi-asserted-by":"crossref","unstructured":"Xie, M., Yin, H., Xu, F., Wang, H., Zhou, X.: Graph-based metric embedding for next poi recommendation. In: International Conference on Web Information Systems Engineering, pp 207\u2013222. Springer (2016)","DOI":"10.1007\/978-3-319-48743-4_17"},{"key":"777_CR100","doi-asserted-by":"crossref","unstructured":"Xiong, L., Chen, X., Huang, T.-K., Schneider, J., Carbonell, J.G.: Temporal collaborative filtering with bayesian probabilistic tensor factorization. In: Proceedings of the 2010 SIAM International Conference on Data Mining, pp 211\u2013222. SIAM (2010)","DOI":"10.1137\/1.9781611972801.19"},{"key":"777_CR101","unstructured":"Xu, F., Tu, Z., Li, Y., Zhang, P., Fu, X., Jin, D.: Trajectory recovery from ash: User privacy is NOT preserved in aggregated mobility data. In: Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017, pp 1241\u20131250. ACM (2017)"},{"key":"777_CR102","doi-asserted-by":"publisher","unstructured":"Xu, S., Cao, J., Legg, P., Liu, B., Li, S.: Venue2vec: an efficient embedding model for fine-grained user location prediction in geo-social networks. IEEE Syst. J. https:\/\/doi.org\/10.1109\/JSYST.2019.2913080 (2019)","DOI":"10.1109\/JSYST.2019.2913080"},{"key":"777_CR103","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1109\/TSMC.2014.2327053","volume":"45","author":"D Yang","year":"2015","unstructured":"Yang, D., Zhang, D., Zheng, V.W., Yu, Z.: Modeling user activity preference by leveraging user spatial temporal characteristics in lbsns. IEEE Transactions on Systems, Man, and Cybernetics: Systems 45, 129\u2013142 (2015)","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics: Systems"},{"key":"777_CR104","doi-asserted-by":"crossref","unstructured":"Yang, C., Bai, L., Zhang, C., Yuan, Q., Han, J.: Bridging collaborative filtering and semi-supervised learning: a neural approach for poi recommendation. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp 1245\u20131254. ACM (2017)","DOI":"10.1145\/3097983.3098094"},{"issue":"4","key":"777_CR105","first-page":"36","volume":"35","author":"C Yang","year":"2017","unstructured":"Yang, C., Sun, M., Zhao, W.X., Liu, Z., Chang, E.Y.: A neural network approach to jointly modeling social networks and mobile trajectories. ACM Trans. Inform. Sys. (TOIS) 35(4), 36 (2017)","journal-title":"ACM Trans. Inform. Sys. (TOIS)"},{"key":"777_CR106","doi-asserted-by":"crossref","unstructured":"Yang, D., Qu, B., Yang, J., Cudre-Mauroux, P.: Revisiting user mobility and social relationships in lbsns: a hypergraph embedding approach. In: The World Wide Web Conference, pp 2147\u20132157. ACM (2019)","DOI":"10.1145\/3308558.3313635"},{"key":"777_CR107","doi-asserted-by":"crossref","unstructured":"Ye, M., Yin, P., Lee, W.-C.: Location recommendation for location-based social networks. In: Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp 458\u2013461. ACM (2010)","DOI":"10.1145\/1869790.1869861"},{"key":"777_CR108","doi-asserted-by":"crossref","unstructured":"Ye, J., Zhu, Z., Cheng, H.: What\u2019s your next move: User activity prediction in location-based social networks. In: Proceedings of the 2013 SIAM International Conference on Data Mining, pp 171\u2013179. SIAM (2013)","DOI":"10.1137\/1.9781611972832.19"},{"issue":"2","key":"777_CR109","first-page":"11","volume":"35","author":"H Yin","year":"2016","unstructured":"Yin, H., Cui, B., Zhou, X., Wang, W., Huang, Z., Sadiq, S.: Joint modeling of user check-in behaviors for real-time point-of-interest recommendation. ACM Trans. Inform. Sys. (TOIS) 35(2), 11 (2016)","journal-title":"ACM Trans. Inform. Sys. (TOIS)"},{"key":"777_CR110","doi-asserted-by":"crossref","unstructured":"Yin, H., Hu, Z., Zhou, X., Wang, H., Zheng, K., Nguyen, Q.V.H., Sadiq, S.: Discovering interpretable geo-social communities for user behavior prediction. In: 2016 IEEE 32nd International Conference on Data Engineering (ICDE), pp 942\u2013953. IEEE (2016)","DOI":"10.1109\/ICDE.2016.7498303"},{"issue":"10","key":"777_CR111","doi-asserted-by":"publisher","first-page":"2566","DOI":"10.1109\/TKDE.2016.2580511","volume":"28","author":"H Yin","year":"2016","unstructured":"Yin, H., Zhou, X., Cui, B., Wang, H., Zheng, K., Nguyen, Q.V.H.: Adapting to user interest drift for poi recommendation. IEEE Trans. Knowl. Data Eng. 28(10), 2566\u20132581 (2016)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"777_CR112","doi-asserted-by":"crossref","unstructured":"Ying, H., Wu, J., Xu, G., Liu, Y., Liang, T., Zhang, X., Xiong, H.: Time-aware metric embedding with asymmetric projection for successive POI recommendation. World Wide Web: 1\u201316 (2018)","DOI":"10.1007\/s11280-018-0596-8"},{"key":"777_CR113","doi-asserted-by":"crossref","unstructured":"Yuan, Q., Cong, G., Ma, Z., Sun, A., Thalmann, N.M.: Time-aware point-of-interest recommendation. In: Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR \u201913, pp 363\u2013372. ACM, New York (2013)","DOI":"10.1145\/2484028.2484030"},{"key":"777_CR114","doi-asserted-by":"crossref","unstructured":"Yuan, Q., Cong, G., Ma, Z., Sun, A., Thalmann, N.M.: Who, where, when and what: discover spatio-temporal topics for twitter users. In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp 605\u2013613. ACM (2013)","DOI":"10.1145\/2487575.2487576"},{"issue":"3","key":"777_CR115","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1109\/TKDE.2014.2345405","volume":"27","author":"NJ Yuan","year":"2015","unstructured":"Yuan, N.J., Zheng, Y., Xie, X., Wang, Y., Zheng, K., Xiong, H.: Discovering urban functional zones using latent activity trajectories. IEEE Trans. Knowl. Data Eng. 27(3), 712\u2013725 (2015)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"1","key":"777_CR116","first-page":"2","volume":"33","author":"Q Yuan","year":"2015","unstructured":"Yuan, Q., Cong, G., Zhao, K., Ma, Z., Sun, A.: Who, where, when, and what: a nonparametric bayesian approach to context-aware recommendation and search for twitter users. ACM Trans. Inform. Sys. (TOIS) 33(1), 2 (2015)","journal-title":"ACM Trans. Inform. Sys. (TOIS)"},{"key":"777_CR117","doi-asserted-by":"crossref","unstructured":"Yuan, F., Jose, J.M., Guo, G., Chen, L., Yu, H., Alkhawaldeh, R.S.: Joint geo-spatial preference and pairwise ranking for point-of-interest recommendation. In: 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI), pp 46\u201353. IEEE (2016)","DOI":"10.1109\/ICTAI.2016.0018"},{"key":"777_CR118","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1007\/978-3-319-91452-7_6","volume-title":"Database Systems for Advanced Applications","author":"Siyuan Zhang","year":"2018","unstructured":"Zhang, S., Cheng, H.: Exploiting context graph attention for POI recommendation in location-based social networks. In: Database Systems for Advanced Applications, pp 83\u201399. Springer International Publishing, Cham (2018)"},{"issue":"2","key":"777_CR119","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1007\/s10115-015-0825-8","volume":"46","author":"C Zhang","year":"2016","unstructured":"Zhang, C., Wang, K.: POI recommendation through cross-region collaborative filtering. Knowl. Inform. Sys. 46(2), 369\u2013387 (2016)","journal-title":"Knowl. Inform. Sys."},{"key":"777_CR120","doi-asserted-by":"crossref","unstructured":"Zhang, J.-D., Chow, C.-Y., Li, Y.: Lore: Exploiting sequential influence for location recommendations. In: Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp 103\u2013112. ACM (2014)","DOI":"10.1145\/2666310.2666400"},{"key":"777_CR121","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1016\/j.ins.2014.09.014","volume":"293","author":"J-D Zhang","year":"2015","unstructured":"Zhang, J.-D., Chow, C.-Y.: Core: Exploiting the personalized influence of two-dimensional geographic coordinates for location recommendations. Inform. Sci. 293, 163\u2013181 (2015)","journal-title":"Inform. Sci."},{"key":"777_CR122","doi-asserted-by":"crossref","unstructured":"Zhang, J.-D., Chow, C.-Y.: Geosoca: Exploiting geographical, social and categorical correlations for point-of-interest recommendations. In: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp 443\u2013452. ACM (2015)","DOI":"10.1145\/2766462.2767711"},{"key":"777_CR123","doi-asserted-by":"crossref","unstructured":"Zhang, C., Zhang, K., Yuan, Q., Zhang, L., Hanratty, T., Han, J.: Gmove: Group-level mobility modeling using geo-tagged social media. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp 1305\u20131314. ACM (2016)","DOI":"10.1145\/2939672.2939793"},{"key":"777_CR124","doi-asserted-by":"crossref","unstructured":"Zhang, F., Yuan, N.J., Zheng, K., Lian, D., Xie, X., Rui, Y.: Exploiting dining preference for restaurant recommendation. In: Proceedings of the 25th International Conference on World Wide Web, pp 725\u2013735. International World Wide Web Conferences Steering Committee (2016)","DOI":"10.1145\/2872427.2882995"},{"key":"777_CR125","doi-asserted-by":"publisher","unstructured":"Zhang, Y., Wei, W., Huang, B., Carley, K., Zhang, Y.: Rate: Overcoming noise and sparsity of textual features in real-time location estimation. In: Proceedings of the 26th ACM International Conference on Information and Knowledge Management, pp 2423\u20132426 (2017). https:\/\/doi.org\/10.1145\/3132847.3133067","DOI":"10.1145\/3132847.3133067"},{"key":"777_CR126","unstructured":"Zhang, Z., Li, C., Wu, Z., Sun, A., Ye, D., Luo, X.: Next: a neural network framework for next POI recommendation. arXiv:1704.04576 (2017)"},{"key":"777_CR127","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Liu, Y., Zhang, Z., Shen, B.: Fused matrix factorization with multi-tag, social and geographical influences for poi recommendation. World Wide Web: 1\u201316 (2018)","DOI":"10.1007\/s11280-018-0579-9"},{"key":"777_CR128","doi-asserted-by":"crossref","unstructured":"Zhao, S., Zhao, T., Yang, H., Lyu, M.R., King, I.: Stellar: spatial-temporal latent ranking for successive point-of-interest recommendation. In: Thirtieth AAAI Conference on Artificial Intelligence (2016)","DOI":"10.1609\/aaai.v30i1.9986"},{"key":"777_CR129","doi-asserted-by":"crossref","unstructured":"Zhao, P., Xu, X., Liu, Y., Zhou, Z., Zheng, K., Sheng, V.S., Xiong, H.: Exploiting hierarchical structures for POI recommendation. In: 2017 IEEE International Conference on Data Mining (ICDM), pp 655\u2013664. IEEE (2017)","DOI":"10.1109\/ICDM.2017.75"},{"key":"777_CR130","doi-asserted-by":"crossref","unstructured":"Zhao, S., Zhao, T., King, I., Lyu, M.R.: Geo-teaser: Geo-temporal sequential embedding rank for point-of-interest recommendation. In: Proceedings of the 26th International Conference on World Wide Web Companion, pp 153\u2013162. International World Wide Web Conferences Steering Committee (2017)","DOI":"10.1145\/3041021.3054138"},{"issue":"4","key":"777_CR131","doi-asserted-by":"publisher","first-page":"727","DOI":"10.1007\/s11390-018-1852-1","volume":"33","author":"P-P Zhao","year":"2018","unstructured":"Zhao, P.-P., Zhu, H.-F., Liu, Y., Zhou, Z.-T., Li, Z.-X., Xu, J.-J., Zhao, L., Sheng, V.S.: A generative model approach for geo-social group recommendation. Journal of Comput. Sci. Technol. 33(4), 727\u2013738 (2018)","journal-title":"Journal of Comput. Sci. Technol."},{"issue":"2","key":"777_CR132","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1145\/3127875","volume":"12","author":"WX Zhao","year":"2018","unstructured":"Zhao, W.X., Fan, F., Wen, J.-R., Chang, E.Y.: Joint representation learning for location-based social networks with multi-grained sequential contexts. ACM Trans. Knowl. Discovery from Data (TKDD) 12(2), 22 (2018)","journal-title":"ACM Trans. Knowl. Discovery from Data (TKDD)"},{"issue":"9","key":"777_CR133","doi-asserted-by":"publisher","first-page":"1652","DOI":"10.1109\/TKDE.2018.2807840","volume":"30","author":"X Zheng","year":"2018","unstructured":"Zheng, X., Han, J., Sun, A.: A survey of location prediction on twitter. IEEE Trans. Knowl. Data Eng. 30(9), 1652\u20131671 (2018)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"777_CR134","doi-asserted-by":"crossref","unstructured":"Zhong, Y., Yuan, N.J., Zhong, W., Zhang, F., Xie, X.: You are where you go: Inferring demographic attributes from location check-ins. In: Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, pp 295\u2013304. ACM (2015)","DOI":"10.1145\/2684822.2685287"},{"key":"777_CR135","doi-asserted-by":"crossref","unstructured":"Zhou, T., Cao, J., Liu, B., Xu, S., Zhu, Z., Luo, J.: Location-based influence maximization in social networks. In: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, CIKM \u201915, pp 1211\u20131220. ACM, New York (2015)","DOI":"10.1145\/2806416.2806462"},{"key":"777_CR136","doi-asserted-by":"crossref","unstructured":"Zhu, W.-Y., Peng, W.-C., Chen, L.-J., Zheng, K., Zhou, X.: Modeling user mobility for location promotion in location-based social networks. In: Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp 1573\u20131582. ACM (2015)","DOI":"10.1145\/2783258.2783331"},{"issue":"2","key":"777_CR137","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1145\/3001938","volume":"11","author":"W-Y Zhu","year":"2016","unstructured":"Zhu, W.-Y., Peng, W.-C., Chen, L.-J., Zheng, K., Zhou, X.: Exploiting viral marketing for location promotion in location-based social networks. ACM Trans. Knowl. Discovery from Data (TKDD) 11(2), 25 (2016)","journal-title":"ACM Trans. Knowl. Discovery from Data (TKDD)"},{"key":"777_CR138","doi-asserted-by":"crossref","unstructured":"Zhu, Y., Li, H., Liao, Y., Wang, B., Guan, Z., Liu, H., Cai, D.: What to do next: Modeling user behaviors by time-lstm. In: IJCAI, pp 3602\u20133608 (2017)","DOI":"10.24963\/ijcai.2017\/504"}],"container-title":["World Wide Web"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11280-019-00777-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11280-019-00777-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11280-019-00777-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,13]],"date-time":"2022-10-13T19:58:24Z","timestamp":1665691104000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11280-019-00777-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1,31]]},"references-count":138,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2020,5]]}},"alternative-id":["777"],"URL":"https:\/\/doi.org\/10.1007\/s11280-019-00777-8","relation":{},"ISSN":["1386-145X","1573-1413"],"issn-type":[{"value":"1386-145X","type":"print"},{"value":"1573-1413","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,1,31]]},"assertion":[{"value":"29 April 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 December 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 December 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 January 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}