Parameter Tuning of Reranking-based Diversification Algorithms using Total Curvature Analysis

Author:

Puthiya Parambath Shameem1,Liu Siwei1,Anagnostopoulos Christos1,Murray-Smith Roderick1,Ounis Iadh1

Affiliation:

1. University of Glasgow, Glasgow, United Kingdom

Funder

UK EPSRC

Publisher

ACM

Reference40 articles.

1. Popularity Bias in Ranking and Recommendation

2. Himan Abdollahpouri , Robin Burke , and Bamshad Mobasher . 2019 . Managing popularity bias in recommender systems with personalized re-ranking . In AAAI Conference on Artificial Intelligence. Himan Abdollahpouri, Robin Burke, and Bamshad Mobasher. 2019. Managing popularity bias in recommender systems with personalized re-ranking. In AAAI Conference on Artificial Intelligence.

3. Azin Ashkan , Branislav Kveton , Shlomo Berkovsky , and Zheng Wen . [n.d.]. Optimal greedy diversity for recommendation . In Twenty-Fourth International Joint Conference on Artificial Intelligence. Azin Ashkan, Branislav Kveton, Shlomo Berkovsky, and Zheng Wen. [n.d.]. Optimal greedy diversity for recommendation. In Twenty-Fourth International Joint Conference on Artificial Intelligence.

4. Data and algorithmic bias in the web

5. Keith Bradley and Barry Smyth . 2001 . Improving recommendation diversity . In Irish Conference on Artificial Intelligence and Cognitive Science. 85--94 . Keith Bradley and Barry Smyth. 2001. Improving recommendation diversity. In Irish Conference on Artificial Intelligence and Cognitive Science. 85--94.

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