Feature-based and Clique-based User Models for Movie Selection: A Comparative Study

User Modeling and User-Adapted Interaction

Volumn 7, Issue 4, 1997, Pages 279-304

  Alspector, Joshua ^a   Kołcz, Aleksander ^a   Karunanithi, N ^b  

^a University of Colorado Colorado Springs   (United States)

^b TELCORDIA TECHNOLOGIES   (United States)

Author keywords

Bagging; CART; Collaborative filtering; Feature extraction; Information filtering; Linear models; Neural networks; Regression trees; User modeling

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA COMMUNICATION SYSTEMS; FEATURE EXTRACTION; INFORMATION ANALYSIS; INTERACTIVE COMPUTER SYSTEMS; NEURAL NETWORKS; SUBSCRIPTION TELEVISION;

COLLABORATIVE FILTERING; INFORMATION FILTERING; USER MODELING;

WIDE AREA NETWORKS;

EID: 0031379881     PISSN: 09241868     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1008286413827     Document Type: Review

References (17)

1. Aho, A., Chang, S. F., McKeown, K., Radev, D., Smith, J. and Zaman, K.: 1997, Columbia digital news system: An environment for briefing and search over multimedia information. Proceedings of the IEEE Forum on Research and Technology Advances in Digital Libraries (IEEE ADL '97), IEEE Computer Society Press, Los Alamitos, California, pp. 82-94.
2. Alspector, J. and Karunanithi, N.: 1994, Smart interfaces for the NIL Proceedings of Focused Program Development Workshop on Networking, Telecommunications and Information Technology, pp. 362-367.
3. Balabanivić, M. and Shoham, Y.: 1997, Content-based collaborative recommendation. Communications of the ACM 40(3), 66-72.
4. Belkin, N. J. and Croft, W. B.: 1992, Information filtering and information retrieval: Two sides of the same coin? Communications of the ACM 35(12), 29-38.
5. Breiman, L.: 1996, Bagging predictors. Machine Learning 24, 123-140.
6. Breiman, L., Friedman, J. H., Olshen, R. A. and Stone, C. J.: 1984, Classification and Regression Trees, Wadsworth.
7. Danzig, K. O. P. and Li, S.: 1993, Internet resource discovery services. IEEE Computer 26(9), 8-22.
8. Flickner, M., Sawhney, H., Niblack, W., Ashley, J., Qian, H., Dom, B., Gorkani, M., Hafner, J., Lee, D., Petcovic, D., Steele, D. and Yanker, P.: 1995, Query by image and video content: the QBIC system. Computer 28(9), 23-32.
9. Girosi, F., Jones, M. and Poggio, T.: 1995, Regularization theory and neural network architectures. Neural Computation 7, 219-269.
10. Goldberg, D., Nichols, D., Oki, B. M. and Terry, D.: 1992, Using collaborative filtering to weave the information tapestry. Communications of the ACM 35(12), 61-70.
11. Hill, W., Stead, L., Rosenstein, M. and Furnas, G.: 1995, Recommending and evaluating choices in virtual community of use. Proceedings of the Conference on Human Factors in Computing Systems (CHI'95).
12. Jordan, M. I. and Jacobs, R. A.: 1994, Hierarchical mixtures of experts and the em algorithm. Neural Computation 6, 181-214.
13. Karunanithi, N. and Alspector, J.: 1996, Feature-based and clique-based user models for movie selection. Proceedings of the Fifth International Conference on User Modeling, User Modeling, Inc., Publishers, Kailua-Kona, HI, pp. 29-34.
14. Konstan, J. A., Miller, B. N., Maltz, D., Herlocker, J. L., Gordon, L. R. and Riedl, J.: 1997, Group Lens: applying collaborative filtering to Usenet news. Communications of the ACM 40(3), 77-87.
15. Maes, P.: 1994, Agents that reduce work and information overload. Communications of the ACM 37(7), 30-40.
16. Orwant, J.: 1995, Heterogeneous learning in the doppelganger user modeling system. User Modeling and User-Adapted Interaction 4(2), 107-130.
17. Rich, E.: 1983, Users are individuals: Individualizing user models. International Journal of Man-Machine Studies 18, 199-214.