{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T11:49:56Z","timestamp":1778586596722,"version":"3.51.4"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J. Comput. Sci. Technol."],"published-print":{"date-parts":[[2020,5]]},"DOI":"10.1007\/s11390-020-9107-3","type":"journal-article","created":{"date-parts":[[2020,6,8]],"date-time":"2020-06-08T21:02:32Z","timestamp":1591650152000},"page":"603-616","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Next POI Recommendation Based on Location Interest Mining with Recurrent Neural Networks"],"prefix":"10.1007","volume":"35","author":[{"given":"Ming","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wen-Zhong","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Qian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sang-Lu","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dao-Xu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,5,29]]},"reference":[{"issue":"8","key":"9107_CR1","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1109\/MC.2009.263","volume":"42","author":"Y Koren","year":"2009","unstructured":"Koren Y, Bell R, Volinsky C. Matrix factorization techniques for recommender systems. IEEE Computer, 2009, 42(8): 30-37.","journal-title":"IEEE Computer"},{"key":"9107_CR2","unstructured":"Mnih A, Salakhutdinov R R. Probabilistic matrix factorization. In Proc. the 21st Annual Conference on Neural Information Processing Systems, December 2007, pp.1257-1264."},{"key":"9107_CR3","doi-asserted-by":"crossref","unstructured":"Rendle S, Freudenthaler C, Schmidt-Thieme L. Factorizing personalized Markov chains for next-basket recommendation. In Proc. the 19th International Conference on World Wide Web, April 2010, pp.811-820.","DOI":"10.1145\/1772690.1772773"},{"key":"9107_CR4","unstructured":"Zimdars A, Chickering D M, Meek C. Using temporal data for making recommendations. In Proc. the 17th Conference on Uncertainty in Artificial Intelligence, August 2001, pp.580-588."},{"issue":"8","key":"9107_CR5","doi-asserted-by":"publisher","first-page":"2458","DOI":"10.1007\/s10489-017-1103-0","volume":"48","author":"S Xing","year":"2018","unstructured":"Xing S, Liu F, Zhao X, Li T. Points-of-interest recommendation based on convolution matrix factorization. Applied Intelligence, 2018, 48(8): 2458-2469.","journal-title":"Applied Intelligence"},{"key":"9107_CR6","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 Proc. the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2017, pp.1245-1254.","DOI":"10.1145\/3097983.3098094"},{"key":"9107_CR7","doi-asserted-by":"crossref","unstructured":"Zhang Y, Dai H, Xu C, Feng J, Wang T, Bian J, Wang B, Liu T Y. Sequential click prediction for sponsored search with recurrent neural networks. In Proc. the 28th AAAI Conference on Artificial Intelligence, July 2014, pp.1369-1375.","DOI":"10.1609\/aaai.v28i1.8917"},{"key":"9107_CR8","unstructured":"Leng Y. Urban computing using call detail records: Mobility pattern mining, next-location prediction and location recommendation [Ph.D. Thesis]. Massachusetts Institute of Technology, 2016."},{"key":"9107_CR9","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 Proc. the 30th AAAI Conference on Artificial Intelligence, February 2016, pp.194-200.","DOI":"10.1609\/aaai.v30i1.9971"},{"key":"9107_CR10","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei D M, Ng A Y, Jordan M I. Latent Dirichlet allocation. Journal of Machine Learning Research, 2003, 3: 993-1022.","journal-title":"Journal of Machine Learning Research"},{"key":"9107_CR11","doi-asserted-by":"crossref","unstructured":"Cho E, Myers S A, Leskovec J. Friendship and mobility: User movement in location-based social networks. In Proc. the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2011, pp.1082-1090.","DOI":"10.1145\/2020408.2020579"},{"key":"9107_CR12","doi-asserted-by":"crossref","unstructured":"Chen M, LiWZ, Qian L, Lu S, Chen D. Interest-aware next POI recommendation for mobile social networks. In Proc. the 13th International Conference on Wireless Algorithms, Systems, and Applications, June 2018, pp.27-39.","DOI":"10.1007\/978-3-319-94268-1_3"},{"key":"9107_CR13","doi-asserted-by":"crossref","unstructured":"Levandoski J J, Sarwat M, Eldawy A, Mokbel M F. LARS: A location-aware recommender system. In Proc. the 28th IEEE International Conference on Data Engineering, April 2012, pp.450-461.","DOI":"10.1109\/ICDE.2012.54"},{"key":"9107_CR14","doi-asserted-by":"crossref","unstructured":"Lu E H C, Chen C Y, Tseng V S. Personalized trip recommendation with multiple constraints by mining user checkin behaviors. In Proc. the 20th International Conference on Advances in Geographic Information Systems, November 2012, pp.209-218.","DOI":"10.1145\/2424321.2424349"},{"key":"9107_CR15","doi-asserted-by":"crossref","unstructured":"Ye M, Yin P, Lee W C. Location recommendation for location-based social networks. In Proc. the 18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, November 2010, pp.458-461.","DOI":"10.1145\/1869790.1869861"},{"issue":"1","key":"9107_CR16","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1109\/THMS.2015.2446953","volume":"46","author":"Z Yu","year":"2016","unstructured":"Yu Z, Xu H, Yang Z, Guo B. Personalized travel package with multi-point-of-interest recommendation based on crowdsourced user footprints. IEEE Transactions on Human-Machine Systems, 2016, 46(1): 151-158.","journal-title":"IEEE Transactions on Human-Machine Systems"},{"key":"9107_CR17","doi-asserted-by":"crossref","unstructured":"Zheng V W, Zheng Y, Xie X, Yang Q. Collaborative location and activity recommendations with GPS history data. In Proc. the 19th International Conference on World Wide Web, April 2010, pp.1029-1038.","DOI":"10.1145\/1772690.1772795"},{"key":"9107_CR18","doi-asserted-by":"crossref","unstructured":"Zheng V W, Cao B, Zheng Y, Xie X, Yang Q. Collaborative filtering meets mobile recommendation: A user-centered approach. In Proc. the 24th AAAI Conference on Artificial Intelligence, July 2010, pp.236-241.","DOI":"10.1609\/aaai.v24i1.7577"},{"issue":"2","key":"9107_CR19","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1109\/TKDE.2018.2881260","volume":"32","author":"Q Cui","year":"2020","unstructured":"Cui Q,Wu S, Liu Q, Zhong W,Wang L. MV-RNN: A multiview recurrent neural network for sequential recommendation. IEEE Transactions on Knowledge and Data Engineering, 2020, 32(2): 317-331.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"9107_CR20","doi-asserted-by":"crossref","unstructured":"Yu F, Liu Q, Wu S, Wang L, Tan T. A dynamic recurrent model for next basket recommendation. In Proc. the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, July 2016, pp.729-732.","DOI":"10.1145\/2911451.2914683"},{"key":"9107_CR21","doi-asserted-by":"crossref","unstructured":"van Setten M, Pokraev S, Koolwaaij J. Context-aware recommendations in the mobile tourist application COMPASS. In Proc. the 3rd International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, August 2004, pp.235-244.","DOI":"10.1007\/978-3-540-27780-4_27"},{"issue":"3","key":"9107_CR22","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1109\/MIS.2007.43","volume":"22","author":"F Ricci","year":"2007","unstructured":"Ricci F, Nguyen Q N. Acquiring and revising preferences in a critique-based mobile recommender system. IEEE Intelligent Systems, 2007, 22(3): 22-29.","journal-title":"IEEE Intelligent Systems"},{"key":"9107_CR23","unstructured":"Ng A Y, Jordan M I, Weiss Y. On spectral clustering: Analysis and an algorithm. In Proc. the 16th Annual Conference on Neural Information Processing Systems, December 2002, pp.849-856."},{"issue":"4","key":"9107_CR24","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1007\/s11222-007-9033-z","volume":"17","author":"U von Luxburg","year":"2007","unstructured":"von Luxburg U. A tutorial on spectral clustering. Statistics and Computing, 2007, 17(4): 395-416.","journal-title":"Statistics and Computing"},{"key":"9107_CR25","unstructured":"Hochreiter S, Schmidhuber J. LSTM can solve hard long time lag problems. In Proc. the 11th Annual Conference on Neural Information Processing Systems, December 1997, pp.473-479."},{"key":"9107_CR26","doi-asserted-by":"crossref","unstructured":"Goutte C, Gaussier \u00c9. A probabilistic interpretation of precision, recall and F-score, with implication for evaluation. In Proc. the 27th European Conference on Information Retrieval, March 2005, pp.345-359.","DOI":"10.1007\/978-3-540-31865-1_25"}],"container-title":["Journal of Computer Science and Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11390-020-9107-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11390-020-9107-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11390-020-9107-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,27]],"date-time":"2022-10-27T05:21:30Z","timestamp":1666848090000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11390-020-9107-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5]]},"references-count":26,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2020,5]]}},"alternative-id":["9107"],"URL":"https:\/\/doi.org\/10.1007\/s11390-020-9107-3","relation":{},"ISSN":["1000-9000","1860-4749"],"issn-type":[{"value":"1000-9000","type":"print"},{"value":"1860-4749","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,5]]},"assertion":[{"value":"6 December 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 January 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 May 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}