{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T03:11:08Z","timestamp":1743131468545,"version":"3.40.3"},"publisher-location":"Cham","reference-count":35,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319639628"},{"type":"electronic","value":"9783319639628"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-63962-8_328-1","type":"book-chapter","created":{"date-parts":[[2018,6,25]],"date-time":"2018-06-25T05:53:06Z","timestamp":1529905986000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Recommender Systems Over Data Streams"],"prefix":"10.1007","author":[{"given":"Andr\u00e1s A.","family":"Bencz\u00far","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Levente","family":"Kocsis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R\u00f3bert","family":"P\u00e1lovics","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,5,25]]},"reference":[{"key":"328-1_CR1","doi-asserted-by":"crossref","unstructured":"Adhikari VK, Guo Y, Hao F, Varvello M, Hilt V, Steiner M, Zhang ZL (2012) Unreeling netflix: understanding and improving multi-cdn movie delivery. In: INFOCOM, 2012 Proceedings IEEE. IEEE, pp 1620\u20131628","DOI":"10.1109\/INFCOM.2012.6195531"},{"key":"328-1_CR2","first-page":"217","volume-title":"Recommender Systems Handbook","author":"Gediminas Adomavicius","year":"2010","unstructured":"Adomavicius G, Tuzhilin A (2011) Context-aware recommender systems. In: Ricci F, Rokach L, Shapira B, Kantor PB (eds) Recommender systems handbook. Springer, Boston, pp 217\u2013253"},{"key":"328-1_CR3","unstructured":"Ali M, Johnson CC, Tang AK (2011) Parallel collaborative filtering for streaming data. University of Texas Austin, Technical Report"},{"key":"328-1_CR4","doi-asserted-by":"crossref","unstructured":"Balog K, Kelly L, Schuth A (2014) Head first: living labs for ad-hoc search evaluation. In: Proceedings of the 23rd ACM international conference on conference on information and knowledge management. ACM, pp 1815\u20131818","DOI":"10.1145\/2661829.2661962"},{"key":"328-1_CR5","unstructured":"Bennett J, Lanning S (2007) The netflix prize. In: KDD Cup and workshop in conjunction with KDD 2007"},{"issue":"1","key":"328-1_CR6","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1145\/963770.963776","volume":"22","author":"Mukund Deshpande","year":"2004","unstructured":"Deshpande M, Karypis G (2004) Item-based top-n recommendation algorithms. ACM Trans Inf Syst (TOIS) 22(1):143\u2013177","journal-title":"ACM Transactions on Information Systems"},{"key":"328-1_CR7","doi-asserted-by":"crossref","unstructured":"Ding Y, Li X (2005) Time weight collaborative filtering. In: Proceedings of the 14th ACM international conference on Information and knowledge management. ACM, pp 485\u2013492","DOI":"10.1145\/1099554.1099689"},{"key":"328-1_CR8","unstructured":"Frig\u00f3 E, P\u00e1lovics R, Kelen D, Bencz\u00far AA, Kocsis L (2017) Online ranking prediction in non-stationary environments. In: Proceedings of the 1st workshop on temporal reasoning in recommender systems, co-located with 11th international conference on recommender systems"},{"key":"328-1_CR9","unstructured":"Funk S (2006) Netflix update: try this at home. http:\/\/sifter.org\/simon\/journal\/20061211.html"},{"key":"328-1_CR10","doi-asserted-by":"crossref","unstructured":"He X, Zhang H, Kan MY, Chua TS (2016) Fast matrix factorization for online recommendation with implicit feedback. In: Proceedings of the 39th international ACM SIGIR conference on research and development in information retrieval. ACM, pp 549\u2013558","DOI":"10.1145\/2911451.2911489"},{"key":"328-1_CR11","unstructured":"Hidasi B (2014) Factorization models for context-aware recommendations. Infocommun J VI(4):27\u201334"},{"key":"328-1_CR12","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1007\/978-3-642-33486-3_5","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"Bal\u00e1zs Hidasi","year":"2012","unstructured":"Hidasi B, Tikk D (2012) Fast ALS-based tensor factorization for context-aware recommendation from implicit feedback. In: Machine learning and knowledge discovery in databases. Springer, pp 67\u201382"},{"issue":"2","key":"328-1_CR13","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1007\/s10618-015-0417-y","volume":"30","author":"Bal\u00e1zs Hidasi","year":"2015","unstructured":"Hidasi B, Tikk D (2016) General factorization framework for context-aware recommendations. Data Min Knowl Discov 30(2):342\u2013371","journal-title":"Data Mining and Knowledge Discovery"},{"key":"328-1_CR14","doi-asserted-by":"crossref","unstructured":"Hu Y, Koren Y, Volinsky C (2008) Collaborative filtering for implicit feedback datasets. In: Eighth IEEE international conference on data mining, 2008. ICDM\u201908. IEEE, pp 263\u2013272","DOI":"10.1109\/ICDM.2008.22"},{"key":"328-1_CR15","doi-asserted-by":"crossref","unstructured":"Isaacman S, Ioannidis S, Chaintreau A, Martonosi M (2011) Distributed rating prediction in user generated content streams. In: Proceedings of the fifth ACM conference on recommender systems. ACM, pp 69\u201376","DOI":"10.1145\/2043932.2043948"},{"issue":"2","key":"328-1_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2951952","volume":"49","author":"Efthalia Karydi","year":"2016","unstructured":"Karydi E, Margaritis K (2016) Parallel and distributed collaborative filtering: a survey. ACM Comput Surv (CSUR) 49(2):37","journal-title":"ACM Computing Surveys"},{"key":"328-1_CR17","doi-asserted-by":"crossref","unstructured":"Koenigstein N, Koren Y (2013) Towards scalable and accurate item-oriented recommendations. In: Proceedings of the 7th ACM conference on recommender systems. ACM, pp 419\u2013422","DOI":"10.1145\/2507157.2507208"},{"issue":"8","key":"328-1_CR18","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1109\/MC.2009.263","volume":"42","author":"Yehuda Koren","year":"2009","unstructured":"Koren Y, Bell R, Volinsky C (2009) Matrix factorization techniques for recommender systems. Computer 42(8):30\u201337","journal-title":"Computer"},{"key":"328-1_CR19","doi-asserted-by":"crossref","unstructured":"Lathia N, Hailes S, Capra L (2009) Temporal collaborative filtering with adaptive neighbourhoods. In: Proceedings of the 32nd international ACM SIGIR conference on research and development in information retrieval. ACM, pp 796\u2013797","DOI":"10.1145\/1571941.1572133"},{"issue":"1","key":"328-1_CR20","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1109\/MIC.2003.1167344","volume":"7","author":"G. Linden","year":"2003","unstructured":"Linden G, Smith B, York J (2003) Amazon.com recommendations: item-to-item collaborative filtering. Internet Comput IEEE 7(1):76\u201380","journal-title":"IEEE Internet Computing"},{"key":"328-1_CR21","first-page":"73","volume-title":"Recommender Systems Handbook","author":"Pasquale Lops","year":"2010","unstructured":"Lops P, De Gemmis M, Semeraro G (2011) Content-based recommender systems: state of the art and trends. In: Ricci F, Rokach L, Shapira B, Kantor, PB (eds) Recommender systems handbook. Springer, Boston, pp 73\u2013105"},{"key":"328-1_CR22","unstructured":"P\u00e1lovics R, Bencz\u00far AA (2013) Temporal influence over the Last.fm social network. In: Proceedings of the 2013 IEEE\/ACM international conference on advances in social networks analysis and mining. ACM, pp 486\u2013493"},{"key":"328-1_CR23","doi-asserted-by":"crossref","unstructured":"P\u00e1lovics R, Bencz\u00far AA, Kocsis L, Kiss T, Frig\u00f3 E (2014) Exploiting temporal influence in online recommendation. In: Proceedings of the 8th ACM conference on recommender systems. ACM, pp 273\u2013280","DOI":"10.1145\/2645710.2645723"},{"key":"328-1_CR24","unstructured":"Paterek A (2007) Improving regularized singular value decomposition for collaborative filtering. In: Proceedings of KDD Cup workshop at SIGKDD\u201907, 13th ACM international conference on knowledge discovery and data mining, pp 39\u201342"},{"key":"328-1_CR25","unstructured":"Pil\u00e1szy I, Ser\u00e9ny A, D\u00f3zsa G, Hidasi B, S\u00e1ri A, Gub J (2015) Neighbor methods vs matrix factorization \u2013 case studies of real-life recommendations. In: LSRS2015 at RECSYS"},{"key":"328-1_CR26","doi-asserted-by":"crossref","unstructured":"Pil\u00e1szy I, Zibriczky D, Tikk D (2010) Fast ALS-based matrix factorization for explicit and implicit feedback datasets. In: Proceedings of the fourth ACM conference on recommender systems. ACM, pp 71\u201378","DOI":"10.1145\/1864708.1864726"},{"key":"328-1_CR27","doi-asserted-by":"crossref","unstructured":"Rendle S, Freudenthaler C (2014) Improving pairwise learning for item recommendation from implicit feedback. In: Proceedings of the 7th ACM international conference on web search and data mining. ACM, pp 273\u2013282","DOI":"10.1145\/2556195.2556248"},{"key":"328-1_CR28","unstructured":"Rendle S, Freudenthaler C, Gantner Z, Schmidt-Thieme L (2009) Bpr: Bayesian personalized ranking from implicit feedback. In: Proceedings of the twenty-fifth conference on uncertainty in artificial intelligence. AUAI Press, pp 452\u2013461"},{"key":"328-1_CR29","doi-asserted-by":"crossref","unstructured":"Rendle S, Schmidt-Thieme L (2010) Pairwise interaction tensor factorization for personalized tag recommendation. In: Proceedings of the third ACM international conference on web search and data mining. ACM, pp 81\u201390","DOI":"10.1145\/1718487.1718498"},{"key":"328-1_CR30","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-85820-3","volume-title":"Recommender systems handbook","author":"F Ricci","year":"2011","unstructured":"Ricci F, Rokach L, Shapira B (2011) Introduction to recommender systems handbook. In: Ricci F, Rokach L, Shapira B, Kantor PB (eds) Recommender systems handbook. Springer, Boston"},{"key":"328-1_CR31","doi-asserted-by":"crossref","unstructured":"Sarwar B, Karypis G, Konstan J, Reidl J (2001) Item-based collaborative filtering recommendation algorithms. In: Proceedings of the 10th international conference on World Wide Web (WWW\u201901). ACM Press, New York, pp 285\u2013295. https:\/\/doi.org\/10.1145\/371920.372071. http:\/\/portal.acm.org\/citation.cfm?id=372071","DOI":"10.1145\/371920.372071"},{"key":"328-1_CR32","first-page":"623","volume":"10","author":"G Tak\u00e1cs","year":"2009","unstructured":"Tak\u00e1cs G, Pil\u00e1szy I, N\u00e9meth B, Tikk D (2009) Scalable collaborative filtering approaches for large recommender systems. J Mach Learn Res 10:623\u2013656","journal-title":"J Mach Learn Res"},{"key":"328-1_CR33","doi-asserted-by":"crossref","unstructured":"Teflioudi C, Gemulla R, Mykytiuk O (2015) Lemp: fast retrieval of large entries in a matrix product. In: Proceedings of the 2015 ACM SIGMOD international conference on management of data. ACM, pp 107\u2013122","DOI":"10.1145\/2723372.2747647"},{"key":"328-1_CR34","unstructured":"Vinagre J, Jorge AM, Gama J (2014) Evaluation of recommender systems in streaming environments. In: Workshop on recommender systems evaluation: dimensions and design (REDD 2014), held in conjunction with RecSys 2014, Silicon Valley, Oct 10, 2014"},{"issue":"1","key":"328-1_CR35","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1145\/2408736.2408746","volume":"14","author":"I \u017dliobaite","year":"2012","unstructured":"\u017dliobaite I, Bifet A, Gaber M, Gabrys B, Gama J, Minku L, Musial K (2012) Next challenges for adaptive learning systems. ACM SIGKDD Explor Newsl 14(1): 48\u201355","journal-title":"ACM SIGKDD Explor Newsl"}],"container-title":["Encyclopedia of Big Data Technologies"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-63962-8_328-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,10]],"date-time":"2019-05-10T03:01:20Z","timestamp":1557457280000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-63962-8_328-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319639628","9783319639628"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-63962-8_328-1","relation":{},"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"25 May 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}