{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T03:08:50Z","timestamp":1743131330607,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":34,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783662496183"},{"type":"electronic","value":"9783662496190"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-662-49619-0_7","type":"book-chapter","created":{"date-parts":[[2016,2,26]],"date-time":"2016-02-26T08:58:59Z","timestamp":1456477139000},"page":"125-146","source":"Crossref","is-referenced-by-count":5,"title":["Enhancing Collaborative Filtering Using Implicit Relations in Data"],"prefix":"10.1007","author":[{"given":"Manuel","family":"Pozo","sequence":"first","affiliation":[]},{"given":"Raja","family":"Chiky","sequence":"additional","affiliation":[]},{"given":"Elisabeth","family":"M\u00e9tais","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"volume-title":"Recommender Systems Handbook","year":"2011","key":"7_CR1","unstructured":"Ricci, F., Rokach, L., Shapira, B., Kantor, P.B. (eds.): Recommender Systems Handbook. Springer, US (2011)"},{"key":"7_CR2","unstructured":"Breese, J.S., Heckerman, D., Kadie, C.: Empirical analysis of predictive algorithms for collaborative filtering. In: Proceedings of the Fourteenth Conference on Uncertainty in artificial intelligence, Morgan Kaufmann Publishers Inc., pp. 43\u201352 (1998)"},{"key":"7_CR3","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1155\/2009\/421425","volume":"2009","author":"X Su","year":"2009","unstructured":"Su, X., Khoshgoftaar, T.M.: A survey of collaborative filtering techniques. Adv. Artificial Intell. 2009, 4 (2009)","journal-title":"Adv. Artificial Intell."},{"key":"7_CR4","unstructured":"Koren, Y.: The bellkor solution to the netflix grand prize. Netflix prize documentation (2009)"},{"key":"7_CR5","first-page":"1","volume":"6","author":"E Peis","year":"2008","unstructured":"Peis, E., del Castillo, J.M., Delgado-L\u00f3pez, J.: Semantic recommender systems. analysis of the state of the topic. Hipertext. net 6, 1\u20135 (2008)","journal-title":"Hipertext. net"},{"key":"7_CR6","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1007\/978-3-540-30123-3_4","volume-title":"Web Mining: From Web to Semantic Web","author":"B Mobasher","year":"2004","unstructured":"Mobasher, B., Jin, X., Zhou, Y.: Semantically enhanced collaborative filtering on the web. In: Berendt, B., Hotho, A., Mladeni\u010d, D., van Someren, M., Spiliopoulou, M., Stumme, G. (eds.) EWMF 2003. LNCS (LNAI), vol. 3209, pp. 57\u201376. Springer, Heidelberg (2004)"},{"issue":"8","key":"7_CR7","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":"7_CR8","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1007\/978-0-387-85820-3_5","volume-title":"Recommender Systems Handbook","author":"Y Koren","year":"2011","unstructured":"Koren, Y., Bell, R.: Advances in collaborative filtering. In: Ricci, F., Rokach, L., Shapira, B., Kantor, P.B. (eds.) Recommender Systems Handbook, pp. 145\u2013186. Springer, US (2011)"},{"key":"7_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1007\/978-3-540-72079-9_9","volume-title":"The Adaptive Web","author":"JB Schafer","year":"2007","unstructured":"Schafer, J.B., Frankowski, D., Herlocker, J., Sen, S.: Collaborative filtering recommender systems. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) Adaptive Web 2007. LNCS, vol. 4321, pp. 291\u2013324. Springer, Heidelberg (2007)"},{"key":"7_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1007\/978-3-540-68880-8_32","volume-title":"Algorithmic Aspects in Information and Management","author":"Y Zhou","year":"2008","unstructured":"Zhou, Y., Wilkinson, D., Schreiber, R., Pan, R.: Large-scale parallel collaborative filtering for the netflix prize. In: Fleischer, R., Xu, J. (eds.) AAIM 2008. LNCS, vol. 5034, pp. 337\u2013348. Springer, Heidelberg (2008)"},{"key":"7_CR11","doi-asserted-by":"crossref","unstructured":"Pil\u00e1szy, I., Zibriczky, D., Tikk, D.: Fast als-based matrix factorization for explicit and implicit feedback datasets. In: Proceedings of the fourth ACM conference on Recommender systems, pp. 71\u201378. ACM (2010)","DOI":"10.1145\/1864708.1864726"},{"key":"7_CR12","doi-asserted-by":"crossref","unstructured":"Tak\u00e1cs, G., Tikk, D.: Alternating least squares for personalized ranking. In: Proceedings of the sixth ACM conference on Recommender systems, pp. 83\u201390. ACM (2012)","DOI":"10.1145\/2365952.2365972"},{"key":"7_CR13","doi-asserted-by":"crossref","unstructured":"Jain, P., Netrapalli, P., Sanghavi, S.: Low-rank matrix completion using alternating minimization. In: Proceedings of the 45th annual ACM Symposium on Symposium on Theory of Computing, 665\u2013674. ACM (2013)","DOI":"10.1145\/2488608.2488693"},{"key":"7_CR14","unstructured":"Funk, S.: Netflix update: Try this at home (3rd place) (2006)"},{"issue":"2","key":"7_CR15","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1145\/1345448.1345466","volume":"9","author":"G Tak\u00e1cs","year":"2007","unstructured":"Tak\u00e1cs, G., Pil\u00e1szy, I., N\u00e9meth, B., Tikk, D.: Major components of the gravity recommendation system. ACM SIGKDD Explor. Newsl. 9(2), 80\u201383 (2007)","journal-title":"ACM SIGKDD Explor. Newsl."},{"key":"7_CR16","doi-asserted-by":"crossref","unstructured":"Koren, Y.: Factorization meets the neighborhood: a multifaceted collaborative filtering model. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge discovery and data mining, pp. 426\u2013434. ACM (2008)","DOI":"10.1145\/1401890.1401944"},{"key":"7_CR17","doi-asserted-by":"crossref","unstructured":"Zhuo, G., Sun, J., Yu, X.: A framework for multi-type recommendations. In: Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), vol. 3, pp. 1884\u20131887. IEEE (2011)","DOI":"10.1109\/FSKD.2011.6019912"},{"issue":"3","key":"7_CR18","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1109\/MIS.2007.58","volume":"22","author":"G Adomavicius","year":"2007","unstructured":"Adomavicius, G., Kwon, Y.: New recommendation techniques for multicriteria rating systems. IEEE Intell. Syst. 22(3), 48\u201355 (2007)","journal-title":"IEEE Intell. Syst."},{"key":"7_CR19","doi-asserted-by":"crossref","unstructured":"Li, Q., Wang, C., Geng, G.: Improving personalized services in mobile commerce by a novel multicriteria rating approach. In: Proceedings of the 17th International Conference on World Wide Web. WWW 2008, pp. 1235\u20131236. ACM, New York (2008)","DOI":"10.1145\/1367497.1367743"},{"key":"7_CR20","doi-asserted-by":"crossref","unstructured":"Lakiotaki, K., Tsafarakis, S., Matsatsinis, N.: UTARec: a recommender system based on multiple criteria analysis. In: Proceedings of the 2008 ACM Conference on Recommender Systems, pp. 219\u2013226. ACM (2008)","DOI":"10.1145\/1454008.1454043"},{"key":"7_CR21","doi-asserted-by":"crossref","unstructured":"Mikeli, A., Apostolou, D., Despotis, D.: A multi-criteria recommendation method for interval scaled ratings. In: IEEE\/WIC\/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), vol. 3, pp. 9\u201312 (2013)","DOI":"10.1109\/WI-IAT.2013.141"},{"key":"7_CR22","doi-asserted-by":"crossref","unstructured":"Mikeli, A., Sotiros, D., Apostolou, D., Despotis, D.: A multi-criteria recommender system incorporating intensity of preferences. In: Fourth International Conference on Information, Intelligence, Systems and Applications (IISA), pp. 1\u20136 (2013)","DOI":"10.1109\/IISA.2013.6623719"},{"issue":"1","key":"7_CR23","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1109\/TSMCB.2011.2163711","volume":"42","author":"Q Liu","year":"2012","unstructured":"Liu, Q., Chen, E., Xiong, H., Ding, C.H., Chen, J.: Enhancing collaborative filtering by user interest expansion via personalized ranking. IEEE Trans. Syst. Man Cybern. Part B Cybern. 42(1), 218\u2013233 (2012)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B Cybern."},{"key":"7_CR24","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. the. Journal of machine Learning research 3, 993\u20131022 (2003)","journal-title":"Journal of machine Learning research"},{"key":"7_CR25","doi-asserted-by":"crossref","unstructured":"Boim, R., Milo, T., Novgorodov, S.: Direc: Diversified recommendations for semantic-less collaborative filtering. In: IEEE 27th International Conference on Data Engineering (ICDE), pp. 1312\u20131315. IEEE (2011)","DOI":"10.1109\/ICDE.2011.5767942"},{"key":"7_CR26","doi-asserted-by":"crossref","unstructured":"Boim, R., Milo, T., Novgorodov, S.: Diversification and refinement in collaborative filtering recommender. In: Proceedings of the 20th ACM International Conference on Information and Knowledge Management, pp. 739\u2013744. ACM (2011)","DOI":"10.1145\/2063576.2063684"},{"issue":"1","key":"7_CR27","first-page":"223","volume":"52","author":"YB Fern\u00e1ndez","year":"2006","unstructured":"Fern\u00e1ndez, Y.B., Arias, J.J.P., Nores, M.L., Solla, A.G., Cabrer, M.R.: Avatar: an improved solution for personalized tv based on semantic inference. IEEE Trans. Consum. Electron. 52(1), 223\u2013231 (2006)","journal-title":"IEEE Trans. Consum. Electron."},{"key":"7_CR28","doi-asserted-by":"crossref","unstructured":"Pan, P.Y., Wang, C.H., Horng, G.J., Cheng, S.T.: The development of an ontology-based adaptive personalized recommender system. In: International Conference on Electronics and Information Engineering (ICEIE), vol. 1, pp. V1\u201376. IEEE (2010)","DOI":"10.1109\/ICEIE.2010.5559842"},{"key":"7_CR29","doi-asserted-by":"crossref","unstructured":"Katz, G., Ofek, N., Shapira, B., Rokach, L., Shani, G.: Using wikipedia to boost collaborative filtering techniques. In: Proceedings of the fifth ACM conference on Recommender systems. ACM, pp. 285\u2013288 (2011)","DOI":"10.1145\/2043932.2043984"},{"key":"7_CR30","doi-asserted-by":"crossref","unstructured":"Mabroukeh, N.R., Ezeife, C.I.: Ontology-based web recommendation from tags. In: IEEE 27th International Conference on Data Engineering Workshops (ICDEW), 2011. IEEE, pp. 206\u2013211 (2011)","DOI":"10.1109\/ICDEW.2011.5767661"},{"key":"7_CR31","unstructured":"Werner, D., Cruz, C., Nicolle, C.: Ontology-based recommender system of economic articles (2013). arXiv preprint arxiv:1301.4781"},{"issue":"7","key":"7_CR32","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1145\/362686.362692","volume":"13","author":"BH Bloom","year":"1970","unstructured":"Bloom, B.H.: Space\/time trade-offs in hash coding with allowable errors. Commun. ACM 13(7), 422\u2013426 (1970)","journal-title":"Commun. ACM"},{"issue":"4","key":"7_CR33","doi-asserted-by":"publisher","first-page":"485","DOI":"10.1080\/15427951.2004.10129096","volume":"1","author":"A Broder","year":"2004","unstructured":"Broder, A., Mitzenmacher, M.: Network applications of bloom filters: a survey. Internet Math. 1(4), 485\u2013509 (2004)","journal-title":"Internet Math."},{"key":"7_CR34","doi-asserted-by":"crossref","unstructured":"Cantador, I., Brusilovsky, P., Kuflik, T.: 2nd workshop on information heterogeneity and fusion in recommender systems (hetrec 2011). In: Proceedings of the 5th ACM conference on Recommender systems. RecSys 2011,. ACM, New York (2011)","DOI":"10.1145\/2043932.2044016"}],"container-title":["Lecture Notes in Computer Science","Transactions on Computational Collective Intelligence XXII"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-662-49619-0_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T13:06:03Z","timestamp":1720789563000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-662-49619-0_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783662496183","9783662496190"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-662-49619-0_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}