gRecs: A group recommendation system based on user clustering

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7239 LNCS, Issue PART 2, 2012, Pages 299-303

  Ntoutsi, Irene ^a   Stefanidis, Kostas ^b   Norvag, Kjetil ^b   Kriegel, Hans Peter ^a  

^a UNIVERSITY OF MUNICH   (Germany)

^b NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

Author keywords

[No Author keywords available]

Indexed keywords

COLLABORATIVE STRATEGIES; GROUP RECOMMENDATIONS;

ARTIFICIAL INTELLIGENCE;

DATABASE SYSTEMS;

EID: 84860666535     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-29035-0_25     Document Type: Conference Paper

References (5)

1. Movielens data sets, http://www.grouplens.org/node/12 (visited on October 2011)
2. Amer-Yahia, S., Roy, S.B., Chawla, A., Das, G., Yu, C.: Group recommendation: Semantics and efficiency. PVLDB 2(1), 754-765 (2009)
3. Breese, J.S., Heckerman, D., Kadie, C.M.: Empirical analysis of predictive algorithms for collaborative filtering. In: UAI, pp. 43-52 (1998)
4. Fagin, R., Lotem, A., Naor, M.: Optimal aggregation algorithms for middleware. In: PODS (2001)
5. Konstan, J.A., Miller, B.N., Maltz, D., Herlocker, J.L., Gordon, L.R., Riedl, J.: Grouplens: Applying collaborative filtering to usenet news. Commun. ACM 40(3), 77-87 (1997)