{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:41:59Z","timestamp":1740123719598,"version":"3.37.3"},"reference-count":78,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T00:00:00Z","timestamp":1642032000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T00:00:00Z","timestamp":1642032000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100002322","name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["User Model User-Adap Inter"],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1007\/s11257-021-09315-6","type":"journal-article","created":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T12:04:24Z","timestamp":1642075464000},"page":"543-573","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Scalable stream-based recommendations with random walks on incremental graph of sequential interactions with implicit feedback"],"prefix":"10.1007","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7758-5778","authenticated-orcid":false,"given":"Murilo F. L.","family":"Schmitt","sequence":"first","affiliation":[]},{"given":"Eduardo J.","family":"Spinosa","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,1,13]]},"reference":[{"key":"9315_CR1","doi-asserted-by":"crossref","unstructured":"Aggarwal, C.C., Wolf, J.L., Wu, K.L., Yu, P.S.: Horting hatches an egg: a new graph-theoretic approach to collaborative filtering. In: Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 201\u2013212 (1999)","DOI":"10.1145\/312129.312230"},{"key":"9315_CR2","doi-asserted-by":"crossref","unstructured":"Al-Ghossein, M., Murena, P.A., Abdessalem, T., Barr\u00e9, A., Cornu\u00e9jols, A.: Adaptive collaborative topic modeling for online recommendation. In: Proceedings of the 12th ACM conference on recommender systems, pp. 338\u2013346 (2018)","DOI":"10.1145\/3240323.3240363"},{"key":"9315_CR3","doi-asserted-by":"crossref","unstructured":"Andersen, R., Chung, F., Lang, K.: Local graph partitioning using pagerank vectors. In: 2006 47th annual IEEE symposium on foundations of computer science (FOCS\u201906), pp. 475\u2013486. IEEE (2006)","DOI":"10.1109\/FOCS.2006.44"},{"key":"9315_CR4","doi-asserted-by":"crossref","unstructured":"Anyosa, S.C., Vinagre, J., Jorge, A.M.: Incremental matrix co-factorization for recommender systems with implicit feedback. In: Companion Proceedings of the The Web Conference 2018, pp. 1413\u20131418 (2018)","DOI":"10.1145\/3184558.3191585"},{"issue":"2","key":"9315_CR5","doi-asserted-by":"publisher","first-page":"890","DOI":"10.1137\/050643799","volume":"45","author":"K Avrachenkov","year":"2007","unstructured":"Avrachenkov, K., Litvak, N., Nemirovsky, D., Osipova, N.: Monte carlo methods in pagerank computation: when one iteration is sufficient. SIAM J. Numer. Anal. 45(2), 890\u2013904 (2007)","journal-title":"SIAM J. Numer. Anal."},{"key":"9315_CR6","doi-asserted-by":"crossref","unstructured":"Avrachenkov, K., Litvak, N., Nemirovsky, D., Smirnova, E., Sokol, M.: Quick detection of top-k personalized pagerank lists. In: International workshop on algorithms and models for the web-graph, pp. 50\u201361. Springer (2011)","DOI":"10.1007\/978-3-642-21286-4_5"},{"key":"9315_CR7","doi-asserted-by":"crossref","unstructured":"Backstrom, L., Leskovec, J.: Supervised random walks: predicting and recommending links in social networks. In: Proceedings of the fourth ACM international conference on Web search and data mining, pp. 635\u2013644 (2011)","DOI":"10.1145\/1935826.1935914"},{"key":"9315_CR8","doi-asserted-by":"crossref","unstructured":"Bahmani, B., Chowdhury, A., Goel, A.: Fast incremental and personalized pagerank. Proceedings of the VLDB Endowment 4(3) (2010)","DOI":"10.14778\/1929861.1929864"},{"key":"9315_CR9","doi-asserted-by":"crossref","unstructured":"Baluja, S., Seth, R., Sivakumar, D., Jing, Y., Yagnik, J., Kumar, S., Ravichandran, D., Aly, M.: Video suggestion and discovery for youtube: taking random walks through the view graph. In: Proceedings of the 17th international conference on World Wide Web, pp. 895\u2013904 (2008)","DOI":"10.1145\/1367497.1367618"},{"key":"9315_CR10","doi-asserted-by":"crossref","unstructured":"Castells, P., Hurley, N.J., Vargas, S.: Novelty and diversity in recommender systems. In: Recommender Systems Handbook, pp. 881\u2013918. Springer (2015)","DOI":"10.1007\/978-1-4899-7637-6_26"},{"key":"9315_CR11","doi-asserted-by":"crossref","unstructured":"Celma, O.: Music recommendation. In: Music Recommendation and Discovery, pp. 43\u201385. Springer (2010)","DOI":"10.1007\/978-3-642-13287-2_3"},{"key":"9315_CR12","doi-asserted-by":"crossref","unstructured":"Chandramouli, B., Levandoski, J.J., Eldawy, A., Mokbel, M.F.: Streamrec: a real-time recommender system. In: Proceedings of the 2011 ACM SIGMOD international conference on management of data, pp. 1243\u20131246 (2011)","DOI":"10.1145\/1989323.1989465"},{"key":"9315_CR13","doi-asserted-by":"crossref","unstructured":"Christoffel, F., Paudel, B., Newell, C., Bernstein, A.: Blockbusters and wallflowers: Accurate, diverse, and scalable recommendations with random walks. In: Proceedings of the 9th ACM Conference on Recommender Systems, pp. 163\u2013170 (2015)","DOI":"10.1145\/2792838.2800180"},{"key":"9315_CR14","doi-asserted-by":"crossref","unstructured":"Cooper, C., Lee, S.H., Radzik, T., Siantos, Y.: Random walks in recommender systems: exact computation and simulations. In: Proceedings of the 23rd International Conference on World Wide Web, pp. 811\u2013816 (2014)","DOI":"10.1145\/2567948.2579244"},{"key":"9315_CR15","doi-asserted-by":"crossref","unstructured":"Cremonesi, P., Koren, Y., Turrin, R.: Performance of recommender algorithms on top-n recommendation tasks. In: Proceedings of the fourth ACM conference on Recommender systems, pp. 39\u201346 (2010)","DOI":"10.1145\/1864708.1864721"},{"issue":"1","key":"9315_CR16","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1145\/963770.963776","volume":"22","author":"M Deshpande","year":"2004","unstructured":"Deshpande, M., Karypis, G.: Item-based top-n recommendation algorithms. ACM Trans. Inf. Syst. TOIS 22(1), 143\u2013177 (2004)","journal-title":"ACM Trans. Inf. Syst. TOIS"},{"key":"9315_CR17","doi-asserted-by":"crossref","unstructured":"Diaz-Aviles, E., Drumond, L., Schmidt-Thieme, L., Nejdl, W.: Real-time top-n recommendation in social streams. In: Proceedings of the sixth ACM conference on Recommender systems, pp. 59\u201366 (2012)","DOI":"10.1145\/2365952.2365968"},{"key":"9315_CR18","unstructured":"Domingos, P.M., Hulten, G.: Catching up with the data: Research issues in mining data streams. In: DMKD (2001)"},{"key":"9315_CR19","doi-asserted-by":"crossref","unstructured":"Eksombatchai, C., Jindal, P., Liu, J.Z., Liu, Y., Sharma, R., Sugnet, C., Ulrich, M., Leskovec, J.: Pixie: A system for recommending 3+ billion items to 200+ million users in real-time. In: Proceedings of the 2018 world wide web conference, pp. 1775\u20131784 (2018)","DOI":"10.1145\/3178876.3186183"},{"issue":"3","key":"9315_CR20","first-page":"333","volume":"2","author":"D Fogaras","year":"2005","unstructured":"Fogaras, D., R\u00e1cz, B., Csalog\u00e1ny, K., Sarl\u00f3s, T.: Towards scaling fully personalized pagerank: algorithms, lower bounds, and experiments. Inter. Math. 2(3), 333\u2013358 (2005)","journal-title":"Inter. Math."},{"issue":"3","key":"9315_CR21","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1109\/TKDE.2007.46","volume":"19","author":"F Fouss","year":"2007","unstructured":"Fouss, F., Pirotte, A., Renders, J.M., Saerens, M.: Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation. IEEE Trans. Knowl. Data Eng. 19(3), 355\u2013369 (2007)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"9315_CR22","unstructured":"Frig\u00f3, E., P\u00e1lovics, R., Kelen, D., Kocsis, L., Bencz\u00far, A.: Online ranking prediction in non-stationary environments (2017)"},{"key":"9315_CR23","doi-asserted-by":"crossref","unstructured":"Gama, J., Sebasti\u00e3o, R., Rodrigues, P.P.: Issues in evaluation of stream learning algorithms. In: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 329\u2013338 (2009)","DOI":"10.1145\/1557019.1557060"},{"key":"9315_CR24","doi-asserted-by":"crossref","unstructured":"Garcin, F., Dimitrakakis, C., Faltings, B.: Personalized news recommendation with context trees. In: Proceedings of the 7th ACM conference on recommender systems, pp. 105\u2013112 (2013)","DOI":"10.1145\/2507157.2507166"},{"key":"9315_CR25","unstructured":"Gori, M., Pucci, A.: Itemrank: a random-walk based scoring algorithm for recommender engines. In: IJCAI (2007)"},{"key":"9315_CR26","doi-asserted-by":"crossref","unstructured":"Gupta, P., Goel, A., Lin, J., Sharma, A., Wang, D., Zadeh, R.: Wtf: The who to follow service at twitter. In: Proceedings of the 22nd international conference on World Wide Web, pp. 505\u2013514 (2013)","DOI":"10.1145\/2488388.2488433"},{"issue":"4","key":"9315_CR27","first-page":"1","volume":"5","author":"FM Harper","year":"2015","unstructured":"Harper, F.M., Konstan, J.A.: The movielens datasets: history and context. Acm Trans. Interact. Intell. Syst. TIIS 5(4), 1\u201319 (2015)","journal-title":"Acm Trans. Interact. Intell. Syst. TIIS"},{"issue":"4","key":"9315_CR28","doi-asserted-by":"publisher","first-page":"784","DOI":"10.1109\/TKDE.2003.1208999","volume":"15","author":"TH Haveliwala","year":"2003","unstructured":"Haveliwala, T.H.: Topic-sensitive pagerank: a context-sensitive ranking algorithm for web search. IEEE Trans. Knowl. Data Eng. 15(4), 784\u2013796 (2003)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"9315_CR29","doi-asserted-by":"crossref","unstructured":"He, R., McAuley, J.: Fusing similarity models with markov chains for sparse sequential recommendation. In: 2016 IEEE 16th international conference on data mMining (ICDM), pp. 191\u2013200. IEEE (2016)","DOI":"10.1109\/ICDM.2016.0030"},{"key":"9315_CR30","unstructured":"Hidasi, B., Karatzoglou, A., Baltrunas, L., Tikk, D.: Session-based recommendations with recurrent neural networks. In: ICLR\u201916 (2016)"},{"key":"9315_CR31","doi-asserted-by":"crossref","unstructured":"Huang, Y., Cui, B., Zhang, W., Jiang, J., Xu, Y.: Tencentrec: Real-time stream recommendation in practice. In: Proceedings of the 2015 ACM SIGMOD international conference on management of data, pp. 227\u2013238 (2015)","DOI":"10.1145\/2723372.2742785"},{"issue":"3","key":"9315_CR32","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1002\/asi.10372","volume":"55","author":"Z Huang","year":"2004","unstructured":"Huang, Z., Chung, W., Chen, H.: A graph model for e-commerce recommender systems. J. Am. Soc. Inform. Sci. Technol. 55(3), 259\u2013274 (2004)","journal-title":"J. Am. Soc. Inform. Sci. Technol."},{"key":"9315_CR33","doi-asserted-by":"crossref","unstructured":"Jannach, D., Lerche, L., Zanker, M.: Recommending based on implicit feedback. In: Social Information Access, pp. 510\u2013569. Springer (2018)","DOI":"10.1007\/978-3-319-90092-6_14"},{"key":"9315_CR34","unstructured":"Jin, C.: Simulating random walks on graphs in the streaming model. In: 10th Innovations in theoretical computer science conference (ITCS 2019) (2019)"},{"key":"9315_CR35","doi-asserted-by":"crossref","unstructured":"Kang, W.C., McAuley, J.: Self-attentive sequential recommendation. In: 2018 IEEE international conference on data mining (ICDM), pp. 197\u2013206. IEEE (2018)","DOI":"10.1109\/ICDM.2018.00035"},{"key":"9315_CR36","doi-asserted-by":"crossref","unstructured":"Koren, Y.: Collaborative filtering with temporal dynamics. In: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 447\u2013456 (2009)","DOI":"10.1145\/1557019.1557072"},{"issue":"8","key":"9315_CR37","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. Computer 42(8), 30\u201337 (2009)","journal-title":"Computer"},{"key":"9315_CR38","doi-asserted-by":"publisher","DOI":"10.1017\/9781108684163","volume-title":"Mining of Massive Data Sets","author":"J Leskovec","year":"2020","unstructured":"Leskovec, J., Rajaraman, A., Ullman, J.D.: Mining of Massive Data Sets. Cambridge University Press, Cambridge (2020)"},{"issue":"1","key":"9315_CR39","first-page":"1","volume":"2","author":"L Lov\u00e1sz","year":"1993","unstructured":"Lov\u00e1sz, L., et al.: Random walks on graphs: a survey. Comb. Paul erdos is Eighty 2(1), 1\u201346 (1993)","journal-title":"Comb. Paul erdos is Eighty"},{"key":"9315_CR40","doi-asserted-by":"crossref","unstructured":"Matuszyk, P., Vinagre, J., Spiliopoulou, M., Jorge, A.M., Gama, J.: Forgetting methods for incremental matrix factorization in recommender systems. In: Proceedings of the 30th annual ACM symposium on applied computing, pp. 947\u2013953 (2015)","DOI":"10.1145\/2695664.2695820"},{"key":"9315_CR41","first-page":"537","volume":"11","author":"B McFee","year":"2011","unstructured":"McFee, B., Lanckriet, G.R.: The natural language of playlists. ISMIR 11, 537\u2013541 (2011)","journal-title":"ISMIR"},{"key":"9315_CR42","doi-asserted-by":"crossref","unstructured":"Miranda, C., Jorge, A.M.: Item-based and user-based incremental collaborative filtering for web recommendations. In: Portuguese Conference on Artificial Intelligence, pp. 673\u2013684. Springer (2009)","DOI":"10.1007\/978-3-642-04686-5_55"},{"key":"9315_CR43","unstructured":"Mobasher, B., Dai, H., Luo, T., Nakagawa, M.: Using sequential and non-sequential patterns in predictive web usage mining tasks. In: 2002 IEEE International Conference on Data Mining, 2002. Proceedings., pp. 669\u2013672. IEEE (2002)"},{"key":"9315_CR44","first-page":"401","volume":"13","author":"JL Moore","year":"2013","unstructured":"Moore, J.L., Chen, S.: Taste over time: the temporal dynamics of user preferences. ISMIR 13, 401\u2013406 (2013)","journal-title":"ISMIR"},{"key":"9315_CR45","unstructured":"Nakagawa, M., Mobasher, B.: Impact of site characteristics on recommendation models based on association rules and sequential patterns. In: Proceedings of the IJCAI, vol.\u00a03, pp. 1\u201310 (2003)"},{"key":"9315_CR46","doi-asserted-by":"crossref","unstructured":"Nasraoui, O., Cerwinske, J., Rojas, C., Gonzalez, F.: Performance of recommendation systems in dynamic streaming environments. In: Proceedings of the 2007 SIAM international conference on data mining, pp. 569\u2013574. SIAM (2007)","DOI":"10.1137\/1.9781611972771.63"},{"key":"9315_CR47","doi-asserted-by":"crossref","unstructured":"Natarajan, N., Shin, D., Dhillon, I.S.: Which app will you use next? collaborative filtering with interactional context. In: Proceedings of the 7th ACM conference on recommender systems, pp. 201\u2013208 (2013)","DOI":"10.1145\/2507157.2507186"},{"key":"9315_CR48","doi-asserted-by":"crossref","unstructured":"Nikolakopoulos, A.N., Karypis, G.: Recwalk: Nearly uncoupled random walks for top-n recommendation. In: Proceedings of the twelfth ACM international conference on web search and data mining, pp. 150\u2013158 (2019)","DOI":"10.1145\/3289600.3291016"},{"key":"9315_CR49","volume-title":"The Pagerank Citation Ranking: Bringing Order to the Web","author":"L Page","year":"1999","unstructured":"Page, L., Brin, S., Motwani, R., Winograd, T.: The Pagerank Citation Ranking: Bringing Order to the Web. Tech. rep, Stanford InfoLab (1999)"},{"key":"9315_CR50","doi-asserted-by":"crossref","unstructured":"P\u00e1lovics, R., Bencz\u00far, A.A., Kocsis, L., Kiss, T., Frig\u00f3, E.: Exploiting temporal influence in online recommendation. In: Proceedings of the 8th ACM conference on recommender systems, pp. 273\u2013280 (2014)","DOI":"10.1145\/2645710.2645723"},{"key":"9315_CR51","doi-asserted-by":"crossref","unstructured":"Pan, R., Zhou, Y., Cao, B., Liu, N.N., Lukose, R., Scholz, M., Yang, Q.: One-class collaborative filtering. In: 2008 eighth IEEE international conference on data mining, pp. 502\u2013511. IEEE (2008)","DOI":"10.1109\/ICDM.2008.16"},{"key":"9315_CR52","doi-asserted-by":"crossref","unstructured":"Papagelis, M., Rousidis, I., Plexousakis, D., Theoharopoulos, E.: Incremental collaborative filtering for highly-scalable recommendation algorithms. In: International symposium on methodologies for intelligent systems, pp. 553\u2013561. Springer (2005)","DOI":"10.1007\/11425274_57"},{"issue":"1","key":"9315_CR53","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2955101","volume":"7","author":"B Paudel","year":"2017","unstructured":"Paudel, B., Christoffel, F., Newell, C., Bernstein, A.: Updatable, accurate, diverse, and scalable recommendations for interactive applications. ACM Trans. Interact. Intell. Syst. TiiS 7(1), 1\u201334 (2017)","journal-title":"ACM Trans. Interact. Intell. Syst. TiiS"},{"issue":"4","key":"9315_CR54","first-page":"1","volume":"51","author":"M Quadrana","year":"2018","unstructured":"Quadrana, M., Cremonesi, P., Jannach, D.: Sequence-aware recommender systems. ACM Comput. Surv. CSUR 51(4), 1\u201336 (2018)","journal-title":"ACM Comput. Surv. CSUR"},{"key":"9315_CR55","doi-asserted-by":"crossref","unstructured":"Quadrana, M., Karatzoglou, A., Hidasi, B., Cremonesi, P.: Personalizing session-based recommendations with hierarchical recurrent neural networks. In: Proceedings of the eleventh ACM conference on recommender systems, pp. 130\u2013137 (2017)","DOI":"10.1145\/3109859.3109896"},{"key":"9315_CR56","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 (2009)"},{"key":"9315_CR57","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 (2010)","DOI":"10.1145\/1772690.1772773"},{"key":"9315_CR58","doi-asserted-by":"crossref","unstructured":"Sarkar, P., Moore, A.W., Prakash, A.: Fast incremental proximity search in large graphs. In: Proceedings of the 25th international conference on Machine learning, pp. 896\u2013903 (2008)","DOI":"10.1145\/1390156.1390269"},{"key":"9315_CR59","doi-asserted-by":"crossref","unstructured":"Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Item-based collaborative filtering recommendation algorithms. In: Proceedings of the 10th international conference on World Wide Web, pp. 285\u2013295 (2001)","DOI":"10.1145\/371920.372071"},{"key":"9315_CR60","unstructured":"Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Incremental singular value decomposition algorithms for highly scalable recommender systems. In: Fifth international conference on computer and information science, vol.\u00a01, pp. 27\u20138. Citeseer (2002)"},{"key":"9315_CR61","unstructured":"Schmitt, M.F., Spinosa, E.J.: Incremental graph of sequential interactions for online recommendation with implicit feedback. In: 3rd Workshop on online recommender systems and user modeling (2020)"},{"key":"9315_CR62","unstructured":"Shani, G., Heckerman, D., Brafman, R.I., Boutilier, C.: An mdp-based recommender system. J. Mach. Learn. Res. 6(9) (2005)"},{"issue":"1","key":"9315_CR63","first-page":"3","volume":"47","author":"Y Shi","year":"2014","unstructured":"Shi, Y., Larson, M., Hanjalic, A.: Collaborative filtering beyond the user-item matrix: a survey of the state of the art and future challenges. ACM Comput. Surv. CSUR 47(1), 3 (2014)","journal-title":"ACM Comput. Surv. CSUR"},{"key":"9315_CR64","doi-asserted-by":"crossref","unstructured":"Smyth, B., McClave, P.: Similarity vs. diversity. In: International conference on case-based reasoning, pp. 347\u2013361. Springer (2001)","DOI":"10.1007\/3-540-44593-5_25"},{"key":"9315_CR65","doi-asserted-by":"crossref","unstructured":"Symeonidis, P., Kirjackaja, L., Zanker, M.: Session-aware news recommendations using random walks on time-evolving heterogeneous information networks. User modeling and user-adapted interaction pp. 1\u201329 (2020)","DOI":"10.1007\/s11257-020-09261-9"},{"key":"9315_CR66","first-page":"623","volume":"10","author":"G Tak\u00e1cs","year":"2009","unstructured":"Tak\u00e1cs, G., Pil\u00e1szy, I., N\u00e9meth, B., Tikk, D.: Scalable collaborative filtering approaches for large recommender systems. J. Mach. Learn. Res. 10, 623\u2013656 (2009)","journal-title":"J. Mach. Learn. Res."},{"key":"9315_CR67","doi-asserted-by":"crossref","unstructured":"Trevisiol, M., Aiello, L.M., Schifanella, R., Jaimes, A.: Cold-start news recommendation with domain-dependent browse graph. In: Proceedings of the 8th ACM conference on recommender systems, pp. 81\u201388 (2014)","DOI":"10.1145\/2645710.2645726"},{"key":"9315_CR68","doi-asserted-by":"crossref","unstructured":"Vahedian, F., Burke, R., Mobasher, B.: Weighted random walk sampling for multi-relational recommendation. In: Proceedings of the 25th conference on user modeling, adaptation and personalization, pp. 230\u2013237 (2017)","DOI":"10.1145\/3079628.3079685"},{"key":"9315_CR69","unstructured":"Vinagre, J.: Scalable adaptive collaborative filtering. Ph.D. thesis, Universidade do Porto (Portugal) (2016)"},{"key":"9315_CR70","unstructured":"Vinagre, J., Jorge, A., Gama, J.: Evaluation of recommender systems in streaming environments. In: Proceedings of the workshop on recommender systems evaluation: dimensions and design in conjunction with the 8th ACM conference on recommender systems (RecSys 2014) (2014)"},{"key":"9315_CR71","doi-asserted-by":"crossref","unstructured":"Vinagre, J., Jorge, A.M., Gama, J.: Fast incremental matrix factorization for recommendation with positive-only feedback. In: International conference on user modeling, adaptation, and personalization, pp. 459\u2013470. Springer (2014)","DOI":"10.1007\/978-3-319-08786-3_41"},{"key":"9315_CR72","doi-asserted-by":"crossref","unstructured":"Vinagre, J., Jorge, A.M., Gama, J.: Collaborative filtering with recency-based negative feedback. In: Proceedings of the 30th annual ACM symposium on applied computing, pp. 963\u2013965 (2015)","DOI":"10.1145\/2695664.2695998"},{"issue":"5","key":"9315_CR73","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1002\/widm.1160","volume":"5","author":"J Vinagre","year":"2015","unstructured":"Vinagre, J., Jorge, A.M., Gama, J.: An overview on the exploitation of time in collaborative filtering. Wiley Interdiscip. Rev. Data Mining Knowl. Discov. 5(5), 195\u2013215 (2015)","journal-title":"Wiley Interdiscip. Rev. Data Mining Knowl. Discov."},{"key":"9315_CR74","doi-asserted-by":"crossref","unstructured":"Xiang, L., Yuan, Q., Zhao, S., Chen, L., Zhang, X., Yang, Q., Sun, J.: Temporal recommendation on graphs via long-and short-term preference fusion. In: Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 723\u2013732 (2010)","DOI":"10.1145\/1835804.1835896"},{"key":"9315_CR75","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1016\/j.engappai.2016.10.011","volume":"58","author":"AM Yagci","year":"2017","unstructured":"Yagci, A.M., Aytekin, T., Gurgen, F.S.: Scalable and adaptive collaborative filtering by mining frequent item co-occurrences in a user feedback stream. Eng. Appl. Artif. Intell. 58, 171\u2013184 (2017)","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"2","key":"9315_CR76","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2873055","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. Inf. Syst. TOIS 35(2), 1\u201344 (2016)","journal-title":"ACM Trans. Inf. Syst. TOIS"},{"key":"9315_CR77","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 (2014)","DOI":"10.1145\/2666310.2666400"},{"key":"9315_CR78","unstructured":"Zhou, B., Hui, S.C., Chang, K.: An intelligent recommender system using sequential web access patterns. In: IEEE Conference on Cybernetics and Intelligent Systems, 2004., vol.\u00a01, pp. 393\u2013398. IEEE (2004)"}],"container-title":["User Modeling and User-Adapted Interaction"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11257-021-09315-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11257-021-09315-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11257-021-09315-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,17]],"date-time":"2022-10-17T10:13:32Z","timestamp":1666001612000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11257-021-09315-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,13]]},"references-count":78,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,9]]}},"alternative-id":["9315"],"URL":"https:\/\/doi.org\/10.1007\/s11257-021-09315-6","relation":{},"ISSN":["0924-1868","1573-1391"],"issn-type":[{"type":"print","value":"0924-1868"},{"type":"electronic","value":"1573-1391"}],"subject":[],"published":{"date-parts":[[2022,1,13]]},"assertion":[{"value":"12 March 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 November 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 January 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}