{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T23:43:41Z","timestamp":1774309421622,"version":"3.50.1"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2015,5,17]],"date-time":"2015-05-17T00:00:00Z","timestamp":1431820800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. &amp; Cyber."],"published-print":{"date-parts":[[2015,12]]},"DOI":"10.1007\/s13042-015-0371-4","type":"journal-article","created":{"date-parts":[[2015,5,16]],"date-time":"2015-05-16T15:30:08Z","timestamp":1431790208000},"page":"953-980","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["ART: group recommendation approaches for automatically detected groups"],"prefix":"10.1007","volume":"6","author":[{"given":"Ludovico","family":"Boratto","sequence":"first","affiliation":[]},{"given":"Salvatore","family":"Carta","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,5,17]]},"reference":[{"key":"371_CR1","doi-asserted-by":"crossref","unstructured":"Amatriain X, Jaimes A, Oliver N, Pujol JM (2011) Data mining methods for recommender systems. In: Recommender Systems Handbook. Springer, Boston, pp. 39\u201371","DOI":"10.1007\/978-0-387-85820-3_2"},{"issue":"8\u20139","key":"371_CR2","doi-asserted-by":"crossref","first-page":"687","DOI":"10.1080\/713827254","volume":"17","author":"L Ardissono","year":"2003","unstructured":"Ardissono L, Goy A, Petrone G, Segnan M, Torasso P (2003) Intrigue: personalized recommendation of tourist attractions for desktop and hand held devices. Appl Artif Intell 17(8\u20139):687\u2013714","journal-title":"Appl Artif Intell"},{"key":"371_CR3","doi-asserted-by":"crossref","unstructured":"Baatarjav EA, Phithakkitnukoon S, Dantu R (2008) Group recommendation system for facebook. In: Meersman R, Tari Z, Herrero P (eds) On the Move to Meaningful Internet Systems: OTM 2008 Workshops, vol 5333. Lecture Notes in Computer Science. Springer, Berlin Heidelberg, pp 211\u2013219","DOI":"10.1007\/978-3-540-88875-8_41"},{"key":"371_CR4","doi-asserted-by":"crossref","unstructured":"Baltrunas L, Makcinskas T, Ricci F (2010) Group recommendations with rank aggregation and collaborative filtering. In: Proceedings of the 2010 ACM Conference on Recommender Systems., RecSys 2010ACM, New York, NY, USA, pp 119\u2013126","DOI":"10.1145\/1864708.1864733"},{"key":"371_CR5","doi-asserted-by":"crossref","DOI":"10.1515\/9781400874668","volume-title":"Adaptive control processes\u2014a guided tour","author":"RE Bellman","year":"1961","unstructured":"Bellman RE (1961) Adaptive control processes\u2014a guided tour. Princeton University Press, Princeton"},{"key":"371_CR6","unstructured":"Boratto L, Carta S (2011) State-of-the-art in group recommendation and new approaches for automatic identification of groups. In: Information Retrieval and Mining in Distributed Environments, vol 324. Studies in Computational Intelligence. Springer, Berlin Heidelberg, pp 1\u201320"},{"key":"371_CR7","doi-asserted-by":"crossref","unstructured":"Boratto L, Carta S, Chessa A, Agelli M, Clemente ML (2009) Group recommendation with automatic identification of users communities. In: Proceedings of the 2009 IEEE\/WIC\/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology Workshops. IEEE, pp 547\u2013550","DOI":"10.1109\/WI-IAT.2009.346"},{"key":"371_CR8","unstructured":"Boratto L, Carta S, Satta M (2010) Groups identification and individual recommendations in group recommendation algorithms. In: Practical Use of Recommender Systems, Algorithms and Technologies 2010, CEUR Workshop Proceedings, vol 676"},{"key":"371_CR9","unstructured":"Bourke S, McCarthy K, Smyth B (2011) Using social ties in group recommendation. In: AICS 2011: Proceedings of the 22nd Irish Conference on Artificial Intelligence and Cognitive Science: 31 August-2 September, 2011: University of Ulster-Magee. Intelligent Systems Research Centre"},{"key":"371_CR10","doi-asserted-by":"crossref","unstructured":"Carolis BD, Pizzutilo S (2009) Providing relevant background information in smart environments. In: E-Commerce and Web Technologies, 10th International Conference, EC-Web 2009. Proceedings, Lecture Notes in Computer Science, vol 5692. Springer, pp 360\u2013371 (2009)","DOI":"10.1007\/978-3-642-03964-5_33"},{"key":"371_CR11","doi-asserted-by":"crossref","unstructured":"Carvalho LAM, Macedo HT (2013) Generation of coalition structures to provide proper groups\u2019 formation in group recommender systems. In: Proceedings of the 22nd International Conference on World Wide Web Companion, WWW \u201913 Companion. International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland, pp. 945\u2013950 (2013)","DOI":"10.1145\/2487788.2488089"},{"key":"371_CR12","unstructured":"Chen Y, Pu P (2012) Cofeel: emotional social interface in group recommender systems. In: Proceedings of the RecSys\u201912 Workshop on Interfaces for Recommender Systems, in conjunction with the 6th ACM Conference on Recommender Systems (RecSys\u201912), pp. 48\u201355"},{"key":"371_CR13","unstructured":"Chen Y, Pu P (2013) Cofeel: using emotions to enhance social interaction in group recommender systems. In: Alpine Rendez-Vous (ARV) 2013 Workshop on Tools and Technology for Emotion-Awareness in Computer Mediated Collaboration and Learning"},{"issue":"11","key":"371_CR14","first-page":"14127","volume":"38","author":"IA Christensen","year":"2011","unstructured":"Christensen IA, Schiaffino SN (2011) Entertainment recommender systems for group of users. Expert Syst Appl 38(11):14127\u201314135","journal-title":"Expert Syst Appl"},{"key":"371_CR15","doi-asserted-by":"crossref","unstructured":"Crossen A, Budzik J, Hammond KJ (2002) Flytrap: intelligent group music recommendation. In: IUI, pp 184\u2013185","DOI":"10.1145\/502716.502748"},{"key":"371_CR16","doi-asserted-by":"crossref","unstructured":"Desrosiers C, Karypis G (2011) A comprehensive survey of neighborhood-based recommendation methods. In: Recommender Systems Handbook. Springer, Berlin, pp 107\u2013144","DOI":"10.1007\/978-0-387-85820-3_4"},{"key":"371_CR17","doi-asserted-by":"crossref","unstructured":"Felfernig A, Zehentner C, Ninaus G, Grabner H, Maalej W, Pagano D, Weninger L, Reinfrank F (2012) Group decision support for requirements negotiation. In: Advances in User Modeling\u2014UMAP 2011 Workshops, Revised Selected Papers, Lecture Notes in Computer Science, vol 7138. Springer, New York, pp 105\u2013116 (2012)","DOI":"10.1007\/978-3-642-28509-7_11"},{"key":"371_CR18","doi-asserted-by":"crossref","unstructured":"Herlocker J, Konstan J, Borchers A, Riedl J (1999) An algorithmic framework for performing collaborative filtering. In: Research and Development in Information Retrieval. American Association of Computing Machinery, American Association of Computing Machinery","DOI":"10.1145\/312624.312682"},{"key":"371_CR19","doi-asserted-by":"crossref","unstructured":"Jameson A (2004) More than the sum of its members: challenges for group recommender systems. In: Proceedings of the working conference on Advanced visual interfaces, AVI 2004. ACM Press, pp 48\u201354","DOI":"10.1145\/989863.989869"},{"key":"371_CR20","doi-asserted-by":"crossref","unstructured":"Jameson A, Baldes S, Kleinbauer T (2004) Two methods for enhancing mutual awareness in a group recommender system. In: Proceedings of the working conference on Advanced visual interfaces, AVI 2004. ACM Press, pp 447\u2013449 (2004)","DOI":"10.1145\/989863.989948"},{"key":"371_CR21","doi-asserted-by":"crossref","unstructured":"Jameson A, Smyth B (2007) Recommendation to groups. The Adaptive Web, vol 4321. Methods and Strategies of Web Personalization, Lecture Notes in Computer Science. Springer, Berlin, pp 596\u2013627","DOI":"10.1007\/978-3-540-72079-9_20"},{"issue":"4","key":"371_CR22","doi-asserted-by":"crossref","first-page":"4049","DOI":"10.1016\/j.eswa.2011.09.096","volume":"39","author":"JJ Jung","year":"2012","unstructured":"Jung JJ (2012) Attribute selection-based recommendation framework for short-head user group: an empirical study by movielens and imdb. Expert Syst Appl 39(4):4049\u20134054. doi: 10.1016\/j.eswa.2011.09.096","journal-title":"Expert Syst Appl"},{"key":"371_CR23","doi-asserted-by":"crossref","first-page":"881","DOI":"10.1109\/TPAMI.2002.1017616","volume":"24","author":"T Kanungo","year":"2002","unstructured":"Kanungo T, Mount DM, Netanyahu NS, Piatko CD, Silverman R, Wu AY (2002) An efficient k-means clustering algorithm: analysis and implementation. IEEE Trans Pattern Anal Mach Intell 24:881\u2013892. doi: 10.1109\/TPAMI.2002.1017616","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"371_CR24","doi-asserted-by":"crossref","unstructured":"Lieberman H, Dyke NWV, Vivacqua AS (1999) Let\u2019s browse: a collaborative web browsing agent. In: IUI, pp 65\u201368","DOI":"10.1145\/291080.291092"},{"key":"371_CR25","unstructured":"MacQueen JB (1967) Some methods for classification and analysis of multivariate observations. In: Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability, vol 1. University of California Press, pp 281\u2013297"},{"key":"371_CR26","first-page":"838","volume":"2014","author":"M Manca","year":"2014","unstructured":"Manca M, Boratto L, Carta S (2014) Design and architecture of a friend recommender system in the social bookmarking domain. Proc Sci Inf Conf 2014:838\u2013842","journal-title":"Proc Sci Inf Conf"},{"key":"371_CR27","doi-asserted-by":"crossref","unstructured":"Manca M, Boratto L, Carta S (2014) Mining user behavior in a social bookmarking system\u2014 a delicious friend recommender system. In: Proceedings of the 3rd International Conference on Data Management Technologies and Applications (DATA 2014), pp 331\u2013338","DOI":"10.5220\/0005000203310338"},{"key":"371_CR28","doi-asserted-by":"crossref","unstructured":"Manca M, Boratto L, Carta S (2015) Friend recommendation in a social bookmarking system: Design and architecture guidelines. In: Arai K, Kapoor S, Bhatia R (eds) Intelligent Systems in Science and Information 2014, Studies in Computational Intelligence, vol 591. Springer, New York, pp 227\u2013242 (2015)","DOI":"10.1007\/978-3-319-14654-6_14"},{"key":"371_CR29","unstructured":"Masthoff J (2002) Modeling a group of television viewers. In: Proceedings of the Future TV: Adaptive Instruction In Your Living Room (A workshop for ITS 2002)"},{"issue":"1","key":"371_CR30","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1023\/B:USER.0000010138.79319.fd","volume":"14","author":"J Masthoff","year":"2004","unstructured":"Masthoff J (2004) Group modeling: selecting a sequence of television items to suit a group of viewers. User Model User-Adapted Interact 14(1):37\u201385. doi: 10.1023\/B:USER.0000010138.79319.fd","journal-title":"User Model User-Adapted Interact"},{"key":"371_CR31","doi-asserted-by":"crossref","unstructured":"Masthoff J (2005) The pursuit of satisfaction: affective state in group recommender systems. In: Proceedings of the 10th international conference on User Modeling. UM\u201905, Springer-Verlag, Berlin, Heidelberg, pp 297\u2013306","DOI":"10.1007\/11527886_39"},{"key":"371_CR32","doi-asserted-by":"crossref","unstructured":"Masthoff J (2008) Group adaptation and group modelling. In: Intelligent Interactive Systems in Knowledge-Based Environments, Studies in Computational Intelligence, vol 104. Springer, New York, pp 157\u2013173","DOI":"10.1007\/978-3-540-77471-6_9"},{"key":"371_CR33","doi-asserted-by":"crossref","unstructured":"Masthoff J (2011) Group recommender systems: combining individual models. In: Recommender Systems Handbook. Springer, New York, pp 677\u2013702","DOI":"10.1007\/978-0-387-85820-3_21"},{"issue":"3\u20134","key":"371_CR34","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1007\/s11257-006-9008-3","volume":"16","author":"J Masthoff","year":"2006","unstructured":"Masthoff J, Gatt A (2006) In pursuit of satisfaction and the prevention of embarrassment: affective state in group recommender systems. User Model User-Adapted Interact 16(3\u20134):281\u2013319. doi: 10.1007\/s11257-006-9008-3","journal-title":"User Model User-Adapted Interact"},{"key":"371_CR35","unstructured":"McCarthy JF (2002) Pocket restaurantfinder: a situated recommender system for groups. In: Workshop on Mobile Ad-Hoc Communication at the 2002 ACM Conference on Human Factors in Computer Systems. Minneapolis"},{"key":"371_CR36","doi-asserted-by":"crossref","unstructured":"McCarthy JF, Anagnost TD (1998) Musicfx: an arbiter of group preferences for computer supported collaborative workouts. In: CSCW \u201998, Proceedings of the ACM 1998 Conference on Computer Supported Cooperative Work. ACM, pp 363\u2013372","DOI":"10.1145\/289444.289511"},{"key":"371_CR37","unstructured":"McCarthy K, Salam\u00f3 M, Coyle L, McGinty L, Smyth B, Nixon P (2006) Cats: a synchronous approach to collaborative group recommendation. In: Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference. AAAI Press, pp 86\u201391"},{"key":"371_CR38","doi-asserted-by":"crossref","unstructured":"McCarthy K, Salam\u00f3 M, Coyle L, McGinty L, Smyth B, Nixon P (2006) Group recommender systems: a critiquing based approach. In: Proceedings of the 2006 International Conference on Intelligent User Interfaces. ACM, pp 267\u2013269","DOI":"10.1145\/1111449.1111506"},{"key":"371_CR39","doi-asserted-by":"crossref","unstructured":"Ntoutsi E, Stefanidis K, N\u00f8rv\u00e5g K, Kriegel HP (2012) Fast group recommendations by applying user clustering. In: Proceedings of Conceptual Modeling\u201431st International Conference ER 2012. Lecture Notes in Computer Science, vol 7532. Springer, New York, pp 126\u2013140","DOI":"10.1007\/978-3-642-34002-4_10"},{"key":"371_CR40","doi-asserted-by":"crossref","unstructured":"Ntoutsi I, Stefanidis K, N\u00f8rv\u00e5g K, Kriegel HP (2012) grecs: A group recommendation system based on user clustering. In: Database Systems for Advanced Applications\u201417th International Conference, DASFAA 2012, Proceedings, Part II, Lecture Notes in Computer Science, vol 7239. Springer, pp 299\u2013303","DOI":"10.1007\/978-3-642-29035-0_25"},{"key":"371_CR41","unstructured":"O\u2019Connor M, Cosley D, Konstan JA, Riedl J (2001) Polylens: a recommender system for groups of users. In: Proceedings of the Seventh European Conference on Computer Supported Cooperative Work. Kluwer, pp 199\u2013218"},{"key":"371_CR42","doi-asserted-by":"crossref","unstructured":"Padmanabhan V, Seemala SK, Bhukya WN (2011) A rule based approach to group recommender systems. In: Proceedings of the 5th International Conference on Multi-Disciplinary Trends in Artificial Intelligence., MIWAI\u201911. Springer-Verlag, Berlin, Heidelberg, pp 26\u201337","DOI":"10.1007\/978-3-642-25725-4_3"},{"key":"371_CR43","doi-asserted-by":"crossref","unstructured":"Pessemier T, Dooms S, Martens L (2013) Comparison of group recommendation algorithms. Multimed Tools Appl 1\u201345. doi: 10.1007\/s11042-013-1563-0","DOI":"10.1007\/s11042-013-1563-0"},{"key":"371_CR44","doi-asserted-by":"crossref","unstructured":"Ricci F (2014) Recommender systems: models and techniques. In: Encyclopedia of Social Network Analysis and Mining. Springer, New York, pp 1511\u20131522","DOI":"10.1007\/978-1-4614-6170-8_88"},{"key":"371_CR45","doi-asserted-by":"crossref","unstructured":"Ricci F, Rokach L, Shapira B (2011) Introduction to recommender systems handbook. In: Recommender Systems Handbook. Springer, Berlin, pp 1\u201335","DOI":"10.1007\/978-0-387-85820-3_1"},{"key":"371_CR46","unstructured":"S\u00e1nchez LQ, Bridge DG, D\u00edaz-Agudo B, Recio-Garc\u00eda JA (2012) A case-based solution to the cold-start problem in group recommenders. In: Proceedings of Case-Based Reasoning Research and Development\u201420th International Conference, ICCBR 2012. Lecture Notes in Computer Science, vol 7466. Springer, New York, pp 342\u2013356"},{"key":"371_CR47","doi-asserted-by":"crossref","unstructured":"Schafer JB, Frankowski D, Herlocker JL, Sen S (2007) Collaborative filtering recommender systems. In: The Adaptive Web, Methods and Strategies of Web Personalization, Lecture Notes in Computer Science, vol 4321. Springer, New York, pp 291\u2013324","DOI":"10.1007\/978-3-540-72079-9_9"},{"key":"371_CR48","unstructured":"Senot C, Kostadinov D, Bouzid M, Picault J, Aghasaryan A (2011) Evaluation of group profiling strategies. In: IJCAI 2011, Proceedings of the 22nd International Joint Conference on Artificial Intelligence. IJCAI\/AAAI, pp 2728\u20132733"},{"key":"371_CR49","doi-asserted-by":"crossref","unstructured":"Senot C, Kostadinov D, Bouzid M, Picault J, Aghasaryan A, Bernier C (2010) Analysis of strategies for building group profiles. In: User Modeling, Adaptation, and Personalization, 18th International Conference, UMAP 2010. Proceedings, Lecture Notes in Computer Science, vol 6075. Springer, New York, pp 40\u201351","DOI":"10.1007\/978-3-642-13470-8_6"},{"key":"371_CR50","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.neucom.2012.06.039","volume":"105","author":"ZJ Zha","year":"2013","unstructured":"Zha ZJ, Tian Q, Cai J, Wang Z (2013) Interactive social group recommendation for flickr photos. Neurocomput 105:30\u201337. doi: 10.1016\/j.neucom.2012.06.039","journal-title":"Neurocomput"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-015-0371-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-015-0371-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-015-0371-4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,25]],"date-time":"2019-08-25T06:14:51Z","timestamp":1566713691000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-015-0371-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,5,17]]},"references-count":50,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2015,12]]}},"alternative-id":["371"],"URL":"https:\/\/doi.org\/10.1007\/s13042-015-0371-4","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,5,17]]}}}