A survey of book recommender systems

Author:

Alharthi Haifa,Inkpen Diana,Szpakowicz Stan

Funder

Saudi Electronic University

Natural Sciences and Engineering Research Council of Canada

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Reference85 articles.

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2. Ahn, H.J. (2008). A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem. Information Sciences, 178(1), 37–51.

3. Alharthi, H., Inkpen, D., & Szpakowicz, S. (2017). Unsupervised topic modelling in a book recommender system for new users. In Proceedings of the 40th international ACM SIGIR conference on research and development in information retrieval, SIGIR’17. New York: ACM.

4. Ardanuy, M.C., & Sporleder, C. (2015). Clustering of novels represented as social networks. LiLT (Linguistic Issues in Language Technology), 12(4), 1–31.

5. Benkoussas, C., & Bellot, P. (2013). Book recommendation based on social information. In Working notes for CLEF 2013 conference (pp. 23–26). Valencia.

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