User Perceptions of Diversity in Recommender Systems

Author:

Dokoupil Patrik1ORCID,Boratto Ludovico2ORCID,Peska Ladislav1ORCID

Affiliation:

1. Faculty of Mathematics and Physics, Charles University, Czech Republic

2. Department of Mathematics and Computer Science, University of Cagliari, Italy

Funder

Charles University grant

Charles University Grant Agency (GA UK)

Czech Science Foundation

Publisher

ACM

Reference32 articles.

1. Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques

2. Clustering-based diversity improvement in top-N recommendation

3. Keith Bradley and Barry Smyth. 2001. Improving recommendation diversity. In Proceedings of the twelfth Irish conference on artificial intelligence and cognitive science, Maynooth, Ireland, Vol. 85. Citeseer, 141–152.

4. Derek Bridge and John Paul Kelly. 2006. Ways of Computing Diverse Collaborative Recommendations. In Adaptive Hypermedia and Adaptive Web-Based Systems, Vincent P. Wade, Helen Ashman, and Barry Smyth (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 41–50.

5. Derek Bridge and John Paul Kelly. 2006. Ways of Computing Diverse Collaborative Recommendations. In Adaptive Hypermedia and Adaptive Web-Based Systems, Vincent P. Wade, Helen Ashman, and Barry Smyth (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 41–50.

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