Groups identification and individual recommendations in group recommendation algorithms

CEUR Workshop Proceedings

Volumn 676, Issue , 2010, Pages 27-34

  Boratto, Ludovico ^a   Carta, Salvatore ^a   Satta, Michele ^a  

^a UNIVERSITY OF CAGLIARI   (Italy)

Author keywords

Clustering; Collaborative filtering; Group recommendation

Indexed keywords

CLUSTERING; GROUP RECOMMENDATIONS; GROUP RECOMMENDER SYSTEMS; MODEL GROUPS; NOVEL ALGORITHM; SOCIAL ACTIVITIES;

CLUSTERING ALGORITHMS; COLLABORATIVE FILTERING;

RECOMMENDER SYSTEMS;

EID: 84890092521     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. S. Amer-Yahia, S. B. Roy, A. Chawla, G. Das, and C. Yu. Group recommendation: Semantics and efficiency. PVLDB, 2(1):754-765, 2009.
2. L. Ardissono, A. Goy, G. Petrone, and M. Segnan. A multi-agent infrastructure for developing personalized web-based systems. ACM Trans. Internet Technol., 5(1):47-69, 2005.
3. L. Ardissono, A. Goy, G. Petrone, M. Segnan, and P. Torasso. Intrigue: Personalized recommendation of tourist attractions for desktop and handset devices. Applied Artificial Intelligence, 17(8):687-714, 2003.
4. V. D. Blondel, J.-L. Guillaume, R. Lambiotte, and E. Lefebvre. Fast unfolding of communities in large networks. J. Stat. Mech., 2008(10):P10008+, October 2008.
5. L. Boratto and S. Carta. State-of-the-art in group recommendation and new approaches for automatic identification of groups. In G. A. Alessandro Soro, Eloisa Vargiu and G. Paddeu, editors, Information Retrieval and Mining in Distributed Environments. Springer Verlag. In press, 2010.
6. L. Boratto, S. Carta, A. Chessa, M. Agelli, and M. L. Clemente. Group recommendation with automatic identification of users communities. In Web Intelligence/IAT Workshops, pages 547-550. IEEE, 2009.
7. E. Campochiaro, R. Casatta, P. Cremonesi, and R. Turrin. Do metrics make recommender algorithms? International Conference on Advanced Information Networking and Applications Workshops, 0:648-653, 2009.
8. I. Cantador, P. Castells, and E. P. Superior. Extracting multilayered semantic communities of interest from ontology-based user profiles: Application to group modelling and hybrid recommendations. In Computers in Human Behavior, special issue on Advances of Knowledge Management and the Semantic. Elsevier. In press, 2010.
9. L. M. de Campos, J. M. Fernández-Luna, J. F. Huete, and M. A. Rueda-Morales. Group recommending: A methodological approach based on bayesian networks. In ICDE Workshops, pages 835-844. IEEE Computer Society, 2007.
10. L. M. de Campos, J. M. Fernández-Luna, J. F. Huete, and M. A. Rueda-Morales. Managing uncertainty in group recommending processes. User Model. User-Adapt. Interact., 19(3):207-242, 2009.
11. D. Goldberg, D. Nichols, B. M. Oki, and D. Terry. Using collaborative filtering to weave an information tapestry. Communication of the ACM, 35(12):61-70, 1992.
12. A. Gunawardana and G. Shani. A survey of accuracy evaluation metrics of recommendation tasks. J. Mach. Learn. Res., 10:2935-2962, 2009.
13. A. Jameson and B. Smyth. Recommendation to groups. In P. Brusilovsky, A. Kobsa, and W. Nejdl, editors, The Adaptive Web: Methods and Strategies of Web Personalization. Springer, 2007.
14. J. B. MacQueen. Some methods for classification and analysis of multivariate observations. In L. M. L. Cam and J. Neyman, editors, Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability, Volume 1, pages 281-297. University of California Press, 1967.
15. T. W. Malone, K. R. Grant, F. A. Turbak, S. A. Brobst, and M. D. Cohen. Intelligent information-sharing systems. Communication of the ACM, 30(5):390-402, 1987.
16. J. Masthoff. Group modeling: Selecting a sequence of television items to suit a group of viewers. User Modeling and User-Adapted Interaction, 14(1):37-85, 2004.
17. M. O'Connor, D. Cosley, J. A. Konstan, and J. Riedl. Polylens: a recommender system for groups of users. In ECSCW'01: Proceedings of the seventh conference on European Conference on Computer Supported Cooperative Work, pages 199-218, Norwell, MA, USA, 2001. Kluwer Academic Publishers.
18. S. Ram. Intelligent agents and the world wide web: Fact or fiction? Journal of Database Management, 12(1):46-49, 2001.
19. P. Resnick, N. Iacovou, M. Suchak, P. Bergstorm, and J. Riedl. Grouplens: An open architecture for collaborative filtering of netnews. In Proceedings of ACM 1994 Conference on Computer Supported Cooperative Work, pages 175-186, Chapel Hill, North Carolina, 1994. ACM.
20. J. B. Schafer, D. Frankowski, J. Herlocker, and S. Sen. Collaborative filtering recommender systems. In The Adaptive Web: Methods and Strategies of Web Personalization, Volume 4321 of Lecture Notes in Computer Science, chapter 9, pages 291-324. Springer, 2007.