Content-Based Recommendation Systems

Author:

Pazzani Michael J.,Billsus Daniel

Publisher

Springer Berlin Heidelberg

Reference39 articles.

1. Ali, K., van Stam, W.: TiVo: Making Show Recommendations Using a Distributed Collaborative Filtering Architecture. In: Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, pp. 394–401. ACM Press, New York (2004)

2. Allan, J., Carbonell, J., Doddington, G., Yamron, J., Yang, Y.: Topic Detection and Tracking Pilot Study Final Report. In: Proceedings of the DARPA Broadcast News Transcription and Understanding Workshop, Lansdowne, pp. 194–218 (1998)

3. Balabanovic, M., Shoham, Y.: FAB: Content-based, Collaborative Recommendation. Communications of the Association for Computing Machinery 40(3), 66–72 (1997)

4. Basu, C., Hirsh, H., Cohen, W.: Recommendation as Classification: Using Social and Content-Based Information in Recommendation. In: Proceedings of the 15th National Conference on Artificial Intelligence, Madison, Wisconsin, pp. 714–720 (1998)

5. Belkin, N., Croft, B.: Information Filtering and Information Retrieval: Two Sides of the Same Coin? Communications of the ACM 35(12), 29–38 (1992)

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