{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T23:09:30Z","timestamp":1776121770039,"version":"3.50.1"},"publisher-location":"New York, NY","reference-count":40,"publisher":"Springer New York","isbn-type":[{"value":"9781461461692","type":"print"},{"value":"9781461461708","type":"electronic"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"vor","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":[[2014]]},"DOI":"10.1007\/978-1-4614-6170-8_88","type":"book-chapter","created":{"date-parts":[[2014,10,4]],"date-time":"2014-10-04T14:49:36Z","timestamp":1412434176000},"page":"1511-1522","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Recommender Systems: Models and Techniques"],"prefix":"10.1007","author":[{"given":"Francesco","family":"Ricci","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2014,10,5]]},"reference":[{"issue":"5","key":"88_CR1890","doi-asserted-by":"crossref","first-page":"896","DOI":"10.1109\/TKDE.2011.15","volume":"24","author":"G Adomavicius","year":"2012","unstructured":"Adomavicius G, Kwon Y (2012) Improving aggregate recommendation diversity using ranking-based techniques. IEEE Trans Knowl Data Eng 24(5): 896\u2013911","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"6","key":"88_CR1891","doi-asserted-by":"crossref","first-page":"734","DOI":"10.1109\/TKDE.2005.99","volume":"17","author":"G Adomavicius","year":"2005","unstructured":"Adomavicius G, Tuzhilin A (2005) Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans Knowl Data Eng 17(6):734\u2013749","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"1","key":"88_CR1892","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1145\/1055709.1055714","volume":"23","author":"G Adomavicius","year":"2005","unstructured":"Adomavicius G, Sankaranarayanan R, Sen S, Tuzhilin A (2005) Incorporating contextual information in recommender systems using a multidimensional approach. ACM Trans Inf Syst 23(1):103\u2013145","journal-title":"ACM Trans Inf Syst"},{"issue":"3","key":"88_CR1893","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1609\/aimag.v32i3.2364","volume":"32","author":"G Adomavicius","year":"2011","unstructured":"Adomavicius G, Mobasher B, Ricci F, Tuzhilin A (2011) Context-aware recommender systems. AI Mag 32(3):67\u201380","journal-title":"AI Mag"},{"key":"88_CR1894","doi-asserted-by":"crossref","unstructured":"Baccigalupo C, Plaza E (2006) Case-based sequential ordering of songs for playlist recommendation. In: Advances in Case-Based Reasoning, Proceedings of the 8th European Conference on Case-Based Reasoning, ECCBR 2006, Fethiye, Turkey, Roth-Berghofer T, G\u00f6ker MH, G\u00fcvenir HA (eds) ECCBR, Fethiye. Lecture notes in computer science, vol 4106. Springer, pp 286\u2013300","DOI":"10.1007\/11805816_22"},{"issue":"5","key":"88_CR1895","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1007\/s00779-011-0417-x","volume":"16","author":"L Baltrunas","year":"2012","unstructured":"Baltrunas L, Ludwig B, Peer S, Ricci F (2012) Context relevance assessment and exploitation in mobile recommender systems. Personal Ubiquitous Comput 16(5):507\u2013526","journal-title":"Personal Ubiquitous Comput"},{"issue":"3","key":"88_CR1896","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1007\/s11257-007-9042-9","volume":"18","author":"S Berkovsky","year":"2008","unstructured":"Berkovsky S, Kuflik T, Ricci F (2008) Mediation of user models for enhanced personalization in recommender systems. User Model User Adapt Interact 18(3): 245\u2013286","journal-title":"User Model User Adapt Interact"},{"issue":"3","key":"88_CR1897","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1017\/S0269888906000567","volume":"20","author":"D Bridge","year":"2006","unstructured":"Bridge D, G\u00f6ker M, McGinty L, Smyth B (2006) Case-based recommender systems. Knowl Eng Rev 20(3):315\u2013320","journal-title":"Knowl Eng Rev"},{"key":"88_CR1898","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1007\/978-3-540-72079-9_12","volume-title":"The adaptive web","author":"R Burke","year":"2007","unstructured":"Burke R (2007) Hybrid web recommender systems. In: The adaptive web. Springer, Berlin\/Heidelberg, pp 377\u2013408"},{"key":"88_CR1899","doi-asserted-by":"crossref","first-page":"805","DOI":"10.1007\/978-0-387-85820-3_25","volume-title":"Recommender systems handbook","author":"RD Burke","year":"2011","unstructured":"Burke RD, O\u2019Mahony MP, Hurley NJ (2011) Robust collaborative recommendation. In: Ricci F, Rokach L, Shapira B (eds) Recommender systems handbook. Springer, New York, pp 805\u2013835"},{"key":"88_CR18100","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1007\/978-0-387-85820-3_4","volume-title":"Recommender systems handbook","author":"C Desrosiers","year":"2011","unstructured":"Desrosiers C, Karypis G (2011) A comprehensive survey of neighborhood-based recommendation methods. In: Ricci F, Rokach L, Shapira B, Kantor PB (eds) Recommender systems handbook. Springer, New York, pp 107\u2013144"},{"key":"88_CR18101","first-page":"160","volume-title":"Rating elicitation strategies for collaborative filtering","author":"M Elahi","year":"2011","unstructured":"Elahi M, Repsys V, Ricci F (2011) Rating elicitation strategies for collaborative filtering. In: Proceedings of the E-commerce and web technologies \u2013 12th international conference, EC-Web, Toulouse, 30 Aug\u20131 Sept 2011. Lecture notes in business information processing, vol 85. Springer, pp 160\u2013171"},{"key":"88_CR18102","first-page":"595","volume-title":"Adaptive bootstrapping of recommender systems using decision trees","author":"N Golbandi","year":"2011","unstructured":"Golbandi N, Koren Y, Lempel R (2011) Adaptive bootstrapping of recommender systems using decision trees. In: Proceedings of the forth international conference on web search and web data mining, WSDM, Hong Kong, 9\u201312 Feb 2011, pp 595\u2013604"},{"key":"88_CR18103","doi-asserted-by":"crossref","first-page":"93","DOI":"10.21236\/ADA447900","volume-title":"Generating predictive movie recommendations from trust in social networks","author":"J Golbeck","year":"2006","unstructured":"Golbeck J (2006) Generating predictive movie recommendations from trust in social networks. In: Proceedings of the trust management, 4th international conference, iTrust, Pisa, 16\u201319 May 2006, pp 93\u2013104"},{"issue":"12","key":"88_CR18104","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1145\/138859.138867","volume":"35","author":"D Goldberg","year":"1992","unstructured":"Goldberg D, Nichols D, Oki BM, Terry D (1992) Using collaborative filtering to weave an information tapestry. Commun ACM 35(12):61\u201370","journal-title":"Commun ACM"},{"key":"88_CR18105","first-page":"91","volume-title":"Personalized active learning for collaborative filtering","author":"A Harpale","year":"2008","unstructured":"Harpale A, Yang Y (2008) Personalized active learning for collaborative filtering. In: Proceedings of the 31st annual international ACM SIGIR conference on research and development in information retrieval, SIGIR, Singapore, 20\u201324 July 2008. ACM, pp 91\u201398"},{"key":"88_CR18106","doi-asserted-by":"crossref","first-page":"596","DOI":"10.1007\/978-3-540-72079-9_20","volume-title":"The adaptive web","author":"A Jameson","year":"2007","unstructured":"Jameson A, Smyth B (2007) Recommendation to groups. In: The adaptive web. Springer, Berlin, pp 596\u2013627"},{"key":"88_CR18107","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511763113","volume-title":"Recommender systems: an introduction","author":"D Jannach","year":"2010","unstructured":"Jannach D, Zanker M, Felfernig A, Friedrich G (2010) Recommender systems: an introduction. Cambridge University Press, New York"},{"key":"88_CR18108","first-page":"136","volume-title":"The adaptive web. Lecture notes in computer science","author":"A Kobsa","year":"2007","unstructured":"Kobsa A (2007) Generic user modeling systems. In: Brusilovsky P, Kobsa A, Nejdl W (eds) The adaptive web. Lecture notes in computer science, vol 4321. Springer, Berlin, pp 136\u2013154"},{"key":"88_CR18109","first-page":"10","volume-title":"Privacy-enhanced personalization","author":"A Kobsa","year":"2008","unstructured":"Kobsa A (2008) Privacy-enhanced personalization. In: Proceedings of the twenty-first international Florida artificial intelligence research society conference, Coconut Grove, 15\u201317 May 2008. AAAI, p 10"},{"issue":"1\u20132","key":"88_CR18110","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1007\/s11257-011-9112-x","volume":"22","author":"JA Konstan","year":"2012","unstructured":"Konstan JA, Riedl J (2012) Recommender systems: from algorithms to user experience. User Model User Adapt Interact 22(1\u20132): 101\u2013123","journal-title":"User Model User Adapt Interact"},{"key":"88_CR18111","doi-asserted-by":"crossref","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 (2011) Advances in collaborative filtering. In: Ricci F, Rokach L, Shapira B (eds) Recommender systems handbook. Springer, New York, pp 145\u2013186"},{"key":"88_CR18112","first-page":"310","volume-title":"Evaluating rating scales personality","author":"T Kuflik","year":"2012","unstructured":"Kuflik T, Wecker AJ, Cena F, Gena C (2012) Evaluating rating scales personality. In: Proceedings of the user modeling, adaptation, and personalization \u2013 20th international conference, UMAP, Montreal, 16\u201320 July 2012, pp 310\u2013315"},{"key":"88_CR18113","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1007\/978-0-387-85820-3_3","volume-title":"Recommender systems handbook","author":"P Lops","year":"2011","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, New York, pp 73\u2013105"},{"issue":"4","key":"88_CR18114","doi-asserted-by":"crossref","first-page":"285","DOI":"10.3727\/109830510X12670455864203","volume":"11","author":"T Mahmood","year":"2009","unstructured":"Mahmood T, Ricci F, Venturini A (2009) Improving recommendation effectiveness by adapting the dialogue strategy in online travel planning. Int J Inf Technol Tour 11(4):285\u2013302","journal-title":"Int J Inf Technol Tour"},{"key":"88_CR18115","first-page":"215","volume-title":"Recommender systems handbook","author":"LB Marinho","year":"2011","unstructured":"Marinho LB, Nanopoulos A, Schmidt-Thieme L, J\u00e4schke R, Hotho A, Stumme G, Symeonidis P (2011) Social tagging recommender systems. In: Ricci F, Rokach L, Shapira B, Kantor PB (eds) Recommender systems handbook. Springer, New York, pp 215\u2013644"},{"key":"88_CR18116","doi-asserted-by":"crossref","first-page":"677","DOI":"10.1007\/978-0-387-85820-3_21","volume-title":"Recommender systems handbook","author":"J Masthoff","year":"2011","unstructured":"Masthoff J (2011) Group recommender systems: combining individual models. In: Ricci F, Rokach L, Shapira B (eds) Recommender systems handbook. Springer, New York, pp 677\u2013702"},{"key":"88_CR18117","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1007\/978-0-387-85820-3_13","volume-title":"Recommender systems handbook","author":"L McGinty","year":"2011","unstructured":"McGinty L, Reilly J (2011) On the evolution of critiquing recommenders. In: Ricci F, Rokach L, Shapira B (eds) Recommender systems handbook. Springer, New York, pp 419\u2013453"},{"key":"88_CR18118","first-page":"75","volume-title":"Optimal radio channel recommendations with explicit and implicit feedback","author":"O Moling","year":"2012","unstructured":"Moling O, Baltrunas L, Ricci F (2012) Optimal radio channel recommendations with explicit and implicit feedback. In: RecSys\u201912: Proceedings of the 2012 ACM conference on recommender systems, Dublin, pp 75\u201382"},{"key":"88_CR18119","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1145\/1540276.1540302","volume":"10","author":"AM Rashid","year":"2008","unstructured":"Rashid AM, Karypis G, Riedl J (2008) Learning preferences of new users in recommender systems: an information theoretic approach. SIGKDD Explor Newsl 10:90\u2013100","journal-title":"SIGKDD Explor Newsl"},{"key":"88_CR18120","first-page":"175","volume-title":"Grouplens: an open architecture for collaborative filtering of netnews","author":"P Resnick","year":"1994","unstructured":"Resnick P, Iacovou N, Suchak M, Bergstrom P, Riedl J (1994) Grouplens: an open architecture for collaborative filtering of netnews. In: Proceedings ACM conference on computer-supported cooperative work, Chapel Hill, pp 175\u2013186"},{"issue":"3","key":"88_CR18121","doi-asserted-by":"crossref","first-page":"205","DOI":"10.3727\/109830511X12978702284390","volume":"12","author":"F Ricci","year":"2011","unstructured":"Ricci F (2011) Mobile recommender systems. Int J Inf Technol Tour 12(3):205\u2013231","journal-title":"Int J Inf Technol Tour"},{"key":"88_CR18122","doi-asserted-by":"crossref","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, Kantor PB (2011) Recommender systems handbook. Springer, New York"},{"key":"88_CR18123","doi-asserted-by":"crossref","first-page":"735","DOI":"10.1007\/978-0-387-85820-3_23","volume-title":"Recommender systems handbook","author":"N Rubens","year":"2011","unstructured":"Rubens N, Kaplan D, Sugiyama M (2011) Active learning in recommender systems. In: Ricci F, Rokach L, Shapira B, Kantor PB (eds) Recommender systems handbook. Springer, New York, pp 735\u2013767"},{"key":"88_CR18124","volume-title":"The paradox of choice","author":"B Schwartz","year":"2004","unstructured":"Schwartz B (2004) The paradox of choice. ECCO, New York"},{"key":"88_CR18125","first-page":"40","volume-title":"Analysis of strategies for building group profiles","author":"C Senot","year":"2010","unstructured":"Senot C, Kostadinov D, Bouzid M, Picault J, Aghasaryan A, Bernier C (2010) Analysis of strategies for building group profiles. In: Proceedings of the user modeling, adaptation, and personalization, 18th international conference, UMAP, Big Island, 20\u201324 June 2010. Springer, pp 40\u201351"},{"key":"88_CR18126","first-page":"1265","volume":"6","author":"G Shani","year":"2005","unstructured":"Shani G, Heckerman D, Brafman RI (2005) An mdp-based recommender system. J Mach Learn Res 6:1265\u20131295","journal-title":"J Mach Learn Res"},{"key":"88_CR18127","volume-title":"Similarity vs diversity","author":"B Smyth","year":"2001","unstructured":"Smyth B, McClave P (2001) Similarity vs diversity. In: Case-Based Reasoning Research and Development, Proceedings of the 4th International Conference on Case-Based Reasoning, ICCBR 2001, Vancouver, BC, Canada. Springer"},{"issue":"4\u20135","key":"88_CR18128","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1007\/s11257-011-9117-5","volume":"22","author":"N Tintarev","year":"2012","unstructured":"Tintarev N, Masthoff J (2012) Evaluating the effectiveness of explanations for recommender systems \u2013 methodological issues and empirical studies on the impact of personalization. User Model User Adapt Interact 22(4\u20135):399\u2013439","journal-title":"User Model User Adapt Interact"},{"key":"88_CR18129","first-page":"109","volume-title":"Rank and relevance in novelty and diversity metrics for recommender systems","author":"S Vargas","year":"2011","unstructured":"Vargas S, Castells P (2011) Rank and relevance in novelty and diversity metrics for recommender systems. In: Proceedings of the 2011 ACM conference on recommender systems, RecSys\u201911, Chicago, 23\u201327 Oct 2011. ACM, pp 109\u2013116"}],"container-title":["Encyclopedia of Social Network Analysis and Mining"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-1-4614-6170-8_88","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T22:27:34Z","timestamp":1591050454000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-1-4614-6170-8_88"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9781461461692","9781461461708"],"references-count":40,"URL":"https:\/\/doi.org\/10.1007\/978-1-4614-6170-8_88","relation":{},"subject":[],"published":{"date-parts":[[2014]]},"assertion":[{"value":"5 October 2014","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}