A Method to Improve Serendipity of Recommendation Lists Based on Collaborative Metric Learning
Author:
Affiliation:
1. Waseda University
2. Sophia University
Publisher
The Japanese Society for Quality Control
Subject
Anesthesiology and Pain Medicine
Link
https://www.jstage.jst.go.jp/article/tqs/9/2/9_62/_pdf
Reference26 articles.
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2. Anderson Chris. (2006), ”The Long Tail : Why The Future Of Business Is Selling Less Of More”, Hachette Digital.
3. Beel, J., Gipp, B., Langer, S., and Breitinger, C. (2016), “Paper recommender systems: a literature survey”, International Journal on Digital Libraries, 17(4), 305-338.
4. Bobadilla, J., Ortega, F., Hernando, A., and Gutiérrez, A. (2013), “Recommender systems survey”, Knowledge-based systems, 46, 109-132.
5. Celma, O., and P. Cano. (2008), “From hits to niches?: or how popular artists can bias music recommendation and discovery”, Proceedings of the 2nd KDD Workshop on Large-Scale Recommender Systems and the Netflix Prize Competition, 5, 1–8.
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1. Improving Serendipity for Collaborative Metric Learning Based on Mutual Proximity;Lecture Notes in Computer Science;2024
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