Efficient Pseudo-Relevance Feedback Methods for Collaborative Filtering Recommendation-Reference-Cited by-同舟云学术

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Efficient Pseudo-Relevance Feedback Methods for Collaborative Filtering Recommendation

Published:2016 Issue: Volume: Page:602-613
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Valcarce Daniel,Parapar Javier,Barreiro Álvaro

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-30671-1_44

Reference25 articles.

1. Belkin, N.J., Croft, W.B.: Information filtering and information retrieval: two sides of the same coin? Commun. ACM 35(12), 29–38 (1992)

2. Bellogín, A., Castells, P., Cantador, I.: Precision-oriented evaluation of recommender systems. In: RecSys 2011, p. 333. ACM (2011)

3. Bellogín, A., Parapar, J.: Using graph partitioning techniques for neighbour selection in user-based collaborative filtering. In: RecSys 2012, pp. 213–216. ACM (2012)

4. Bellogín, A., Parapar, J., Castells, P.: Probabilistic collaborative filtering with negative cross entropy. In: RecSys 2013, pp. 387–390. ACM (2013)

5. Bellogín, A., Wang, J., Castells, P.: Bridging memory-based collaborative filtering and text retrieval. Inf. Retr. 16(6), 697–724 (2013)

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