Promoting Tail Item Recommendations in E-Commerce
Author:
Affiliation:
1. Ben-Gurion University of the Negev, Israel
2. Apiiro, Israel
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3565472.3592968
Reference43 articles.
1. Himan Abdollahpouri , Masoud Mansoury , Robin Burke , and Bamshad Mobasher . 2019. The unfairness of popularity bias in recommendation. arXiv preprint arXiv:1907.13286 ( 2019 ). Himan Abdollahpouri, Masoud Mansoury, Robin Burke, and Bamshad Mobasher. 2019. The unfairness of popularity bias in recommendation. arXiv preprint arXiv:1907.13286 (2019).
2. Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques
3. Chris Anderson . 2007. The long tail: How endless choice is creating unlimited demand . Random House . Chris Anderson. 2007. The long tail: How endless choice is creating unlimited demand. Random House.
4. J. Bobadilla F. Ortega A. Hernando and A. Gutiérrez. 2013. Recommender systems survey. Knowledge-Based Syst. (2013). https://doi.org/10.1016/j.knosys.2013.03.012 10.1016/j.knosys.2013.03.012
5. J. Bobadilla F. Ortega A. Hernando and A. Gutiérrez. 2013. Recommender systems survey. Knowledge-Based Syst. (2013). https://doi.org/10.1016/j.knosys.2013.03.012
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