Mixing it up: Recommending collections of items

Conference on Human Factors in Computing Systems - Proceedings

Volumn , Issue , 2009, Pages 1217-1226

  Hansen, Derek L ^a   Golbeck, Jennifer ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

Automatic playlist generation; Collaborative filtering; Collections. collection recoin mender systems; Mix tape; Music; Playlist; Recommender systems

Indexed keywords

AUTOMATIC PLAYLIST GENERATION; CO-OCCURRENCE; DESIGN SPACES; EMPIRICAL STUDIES; INTERACTION EFFECT; MUSIC; ORDERING EFFECTS; PLAYLIST;

COLLABORATIVE FILTERING; HUMAN ENGINEERING;

RECOMMENDER SYSTEMS;

EID: 84892467450     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1518701.1518883     Document Type: Conference Paper

References (17)

1. Adomavicius, G., and Tuzhilin, A. Toward the Next Generation of Recommender Systems: A Survev of the State-of-the-Art and Possible Extensions. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2005), 734 719.
2. Ali, K., and van Stam, W, Tivo: making show recommendations using a distributed collaborative filtering architecture. In KDD '04 (New York, NY, USA. 2004), ACM. pp. 391-101.
3. Bradley, K., and Smyth, B. Improving recommendation diversity. In AAAI'01 (2001).
4. Cunningham, S, Jones, M., and Jones, S. Organizing digital music for use: An examination of personal music collections. In Proceedings of 5th International Conference on Music Information Retrieval (ISMIR04). pp. 447 454.
5. Des Jardins, M, Eaton, E, and Wagstaff, K. L. Learning user preferences for sets of objects. In ICML '06: Proceedings of the 23rd international conference on Machine learning (New York, NY, USA. 2006), ACM. pp. 273 280.
6. Golbeok, J., and Hendler, J. FilmTrust: Movie recommendations using trust in web-based social networks. IEEE CCNC (2006).
7. Herlocker, J. L., Konstan, J. A., Teryeen, L. G., and Riedl, J. T. Evaluating collaborative filtering recommender svstems. ACM Trans. Inf. Syst. 22, 1 (2004), 5-53.
8. Lee, J. H., and Dovvnie, J. S. Survey of music information needs, uses, and seeking behaviours: Preliminary findings. In ISMI (2004), pp. 411-446.
9. Lehtiniemi, A., and Seppanen, J. Evaluation of automatic mobile playlist generator. In Mobility '07: Proceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technology (New York, NY. USA. 2007), ACM. pp. 452-459.
10. Miller, B. N., Albert, I., Lam, S. K., Konstan, J. A., and Riedl, J. Movielens unplugged: experiences with an occasionally connected recommender system. In IUI 'OH (New York. NY. USA, 2003). ACM, pp. 263-266.
11. O'Connor, M., Cosley, D., Konstan, J. A., and Riedl, J. Polylens: A recommender system for groups of users. In ECSCW'01 (Norwell, MA, USA. 2001). Kluwer Academic Publishers, pp. 199 218.
12. Pampalk, E., Flexer, A., and Widmer, G. Hierarchical organization and description of music collections at the artist level. In ECDL '05 (2005), pp. 37-48.
13. Pauws, S., and Eggen, B. PATS: Realization and user evaluation of an automatic playlist generator. In Proceedings of the 3rd International Conference on Music Information Retrieval (2002). pp. 222 -230.
14. Pauws, S. and van de Wijdeven, S. Evaluation of a new interactive playlist generation concept. In ISMIR International Conf. on Music Information Retrieval (2005). pp. 638-643.
15. Tzanetakis, G. Musical genre classification of audio signals. In IEEE Transactions on Speech and Audio Processing (2002). pp. 293 302.
16. Voida, A., Grinter, R. E., Ducheneaut, N., Edwards, W. K., and Newman, M. W. Listening in: practices surrounding itunes music sharing. In CHI '05: Proceedings of the SIGC'HI conference on Human factors in computing systems (New York. NY, USA. 2005). ACM. pp. 191-200.
17. Ziegler, C.-N., McNee, S. M., Konstanm, J. A., and Lausan, G. Improving recommendation lists through topic diversification. In WWW '05 (New York. NY. USA. 2005). ACM. pp. 22-32.