{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T13:47:25Z","timestamp":1742996845198,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319083377"},{"type":"electronic","value":"9783319083384"}],"license":[{"start":{"date-parts":[[2015,9,3]],"date-time":"2015-09-03T00:00:00Z","timestamp":1441238400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,9,3]],"date-time":"2015-09-03T00:00:00Z","timestamp":1441238400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-08338-4_76","type":"book-chapter","created":{"date-parts":[[2015,9,2]],"date-time":"2015-09-02T07:13:31Z","timestamp":1441178011000},"page":"1049-1061","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Tag-Based Recommender System"],"prefix":"10.1007","author":[{"given":"Pietro","family":"De Caro","sequence":"first","affiliation":[]},{"given":"Maria Silvia","family":"Pini","sequence":"additional","affiliation":[]},{"given":"Francesco","family":"Sambo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,9,3]]},"reference":[{"issue":"6","key":"76_CR1","doi-asserted-by":"crossref","first-page":"734","DOI":"10.1109\/TKDE.2005.99","volume":"17","author":"G. Adomavicius","year":"2005","unstructured":"G. Adomavicius and A. Tuzhilin. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 17(6):734\u2013749, 2005.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"issue":"1","key":"76_CR2","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/j.ins.2007.07.024","volume":"178","author":"Hyung Jun Ahn","year":"2008","unstructured":"Hyunhg Jun Ahn. A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem. Information Sciences, 178(1):37\u201351, 2008.","journal-title":"Information Sciences"},{"key":"76_CR3","doi-asserted-by":"crossref","unstructured":"S. Badaloni, F. Sambo, and F. Venco. Bayesian Network structure learning: hybridizing complete search with independence tests. AI Communications, 28(2):309\u2013322, 2015.","DOI":"10.3233\/AIC-140634"},{"key":"76_CR4","doi-asserted-by":"crossref","unstructured":"D. Billsus, C. A. Brunk, C. Evans, B. Gladish, and M. Pazzani. Adaptive interfaces for ubiquitous web access. Communications of the ACM, 45:34\u201338, 2002.","DOI":"10.1145\/506218.506240"},{"key":"76_CR5","doi-asserted-by":"crossref","unstructured":"Esma Nur Cinicioglu and Prakash P. Shenoy. A new heuristic for learning Bayesian networks from limited datasets: a real-time recommendation system application with RFID systems in grocery stores. Annals of Operations Research, pages 1\u201321, 2012.","DOI":"10.1007\/s10479-012-1171-9"},{"key":"76_CR6","doi-asserted-by":"crossref","unstructured":"J. L. Herlocker, J. A. Konstan, A. Borchers, and J. Riedl. An algorithmic framework for performing collaborative filtering. In Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 230\u2013237, New York, NY, USA, 1999. ACM.","DOI":"10.1145\/312624.312682"},{"issue":"2","key":"76_CR7","doi-asserted-by":"crossref","first-page":"618","DOI":"10.1016\/j.dss.2005.05.019","volume":"43","author":"Audun J\u00f8sang","year":"2007","unstructured":"A. J\u00f8sang, R. Ismail, and C. Boyd. A survey of trust and reputation systems for online service provision. Decision Support Systems, 43(2):618\u2013644, 2007.","journal-title":"Decision Support Systems"},{"key":"76_CR8","doi-asserted-by":"crossref","unstructured":"Audun J\u00f8sang, Guibing Guo, MariaSilvia Pini, Francesco Santini, and Yue Xu. Combining recommender and reputation systems to produce better online advice. In V Torra, Y Narukawa, G Navarro-Arribas, and D Megas, editors, Modeling Decisions for Artificial Intelligence, volume 8234 of Lecture Notes in Computer Science, pages 126\u2013138. Springer, Berlin Heidelberg, 2013.","DOI":"10.1007\/978-3-642-41550-0_12"},{"issue":"4","key":"76_CR9","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1145\/1721654.1721677","volume":"53","author":"Yehuda Koren","year":"2010","unstructured":"Y. Koren. Collaborative filtering with temporal dynamics. Communications of the ACM, 53(4):89\u201397, 2010.","journal-title":"Communications of the ACM"},{"issue":"1","key":"76_CR10","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1109\/MIC.2003.1167344","volume":"7","author":"G. Linden","year":"2003","unstructured":"G. Linden, B. Smith, and J. York. Amazon.com recommendations: item-to-item collaborative filtering. Internet Computing, IEEE, 7(1):76\u201380, Jan 2003.","journal-title":"IEEE Internet Computing"},{"key":"76_CR11","doi-asserted-by":"crossref","unstructured":"P. Massa and P. Avesani. Trust-aware recommender systems. In Proceedings of the 2007 ACM conference on Recommender systems (RecSys\u201907), pages 17\u201324, 2007.","DOI":"10.1145\/1297231.1297235"},{"key":"76_CR12","unstructured":"Massimo Melucci. Metodi di valutazione. In Information retrieval. Franco Angeli, 2013."},{"key":"76_CR13","doi-asserted-by":"crossref","unstructured":"B. N. Miller, I. Albert, S. K. Lam, J. A. Konstan, and J. Riedl. Movielens unplugged: Experiences with an occasionally connected recommender system. In In-Proceedings of ACM 2003 International Conference on Intelligent User Interfaces (IUI\u201903) (Accepted Poster, pages 263\u2013266). ACM Press, 2003.","DOI":"10.1145\/604045.604094"},{"key":"76_CR14","unstructured":"Lik Mui, Mojdeh Mohtashemi, and Cheewee Ang. A probabilistic rating framework for pervasive computing environments. In Proceedings of the MIT Student Oxygen Workshop (SOW2001), 2001."},{"key":"76_CR15","unstructured":"C. Musto, P. Lops, F. Narducci, G.i Semeraro, and M. De Gemmis. An ir-based approach to tag recommendation."},{"key":"76_CR16","doi-asserted-by":"crossref","unstructured":"TienT. Nguyen and John Riedl. Predicting users preference from tag relevance. In User Modeling, Adaptation, and Personalization, volume 7899 of Lecture Notes in Computer Science, pages 274\u2013280. Springer, Berlin Heidelberg, 2013.","DOI":"10.1007\/978-3-642-38844-6_23"},{"key":"76_CR17","doi-asserted-by":"crossref","unstructured":"M. Pazzani and D. Billsus. Learning and revising user profiles: The identification of interesting web sites. Mach. Learn., 27(3):313\u2013331, June 1997.","DOI":"10.1023\/A:1007369909943"},{"key":"76_CR18","doi-asserted-by":"crossref","unstructured":"M. J. Pazzani. A framework for collaborative, content-based and demographic filtering. Artif. Intell. Rev., 13(5\u20136):393\u2013408, December 1999.","DOI":"10.1023\/A:1006544522159"},{"key":"76_CR19","doi-asserted-by":"crossref","unstructured":"Judea Pearl. Probabilistic Reasoning in Intelligent Systems : Networks of Plausible Inference. Morgan Kaufmann, September 1988.","DOI":"10.1016\/B978-0-08-051489-5.50008-4"},{"key":"76_CR20","unstructured":"The GroupLens research lab. Hetrec 2011 datasets. http:\/\/grouplens.org\/datasets\/hetrec-2011\/."},{"key":"76_CR21","doi-asserted-by":"crossref","unstructured":"B. M. Sarwar, G. Karypis, J. A. Konstan, and J. Riedl. Item-based collaborative filtering recommendation algorithms. In 10th International World Wide Web Conference. Association of Computing Machinery, 2001.","DOI":"10.1145\/371920.372071"},{"key":"76_CR22","doi-asserted-by":"crossref","first-page":"149","DOI":"10.4018\/978-1-59904-879-6.ch015","volume-title":"Handbook of Research on Digital Libraries","author":"Giovanni Semeraro","year":"2009","unstructured":"G. Semeraro, P. Basile, M. de Gemmis, and P. Lops. User profiles for personalizing digital libraries. Handbook of Research on Digital Libraries: Design, Development and Impact, pages 149\u2013158, 2009."},{"key":"76_CR23","doi-asserted-by":"crossref","unstructured":"S. Sen, J. Vig, and J. Riedl. Tagommenders: Connecting users to items through tags. In Proceedings of the 18th International Conference on World Wide Web , WWW \u201909, pages 671\u2013680, New York, NY, USA, 2009. ACM.","DOI":"10.1145\/1526709.1526800"},{"key":"76_CR24","doi-asserted-by":"crossref","unstructured":"Y. Shi, A. Karatzoglou, L. Baltrunas, M. Larson, A. Hanjalic, and N. Oliver. Tfmap: Optimizing map for top-n context-aware recommendation. In Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR\u201912), pages 155\u2013164, 2012.","DOI":"10.1145\/2348283.2348308"},{"issue":"2","key":"76_CR25","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1007\/s13174-012-0061-3","volume":"3","author":"Kam Fung Yeung","year":"2012","unstructured":"KamFung Yeung, Yanyan Yang, and David Ndzi. A proactive personalised mobile recommendation system using analytic hierarchy process and Bayesian network. Journal of Internet Services and Applications, 3(2):195\u2013214, 2012.","journal-title":"Journal of Internet Services and Applications"},{"key":"76_CR26","doi-asserted-by":"crossref","unstructured":"K. Yu, A. Schwaighofer, V. Tresp, X. Xu, and H-P Kriegel. Probabilistic memory-based collaborative filtering. Knowledge and Data Engineering, IEEE Transactions on, 16(1):56\u201369, 2004.","DOI":"10.1109\/TKDE.2004.1264822"}],"container-title":["Advances in Intelligent Systems and Computing","Intelligent Autonomous Systems 13"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-08338-4_76","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,21]],"date-time":"2023-02-21T07:15:46Z","timestamp":1676963746000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-08338-4_76"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,9,3]]},"ISBN":["9783319083377","9783319083384"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-08338-4_76","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2015,9,3]]},"assertion":[{"value":"3 September 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}