I have been arguing on this blog that while everyone knows diversity is a desirable property of recommender systems, there has been little work on the topic. To make my claim precise, I decided to list the papers addressing both recommender systems and diversity. I mean this list to be complete.
- L. McGinty, B. Smyth, On the Role of Diversity in Conversational Recommender Systems, in: Proc. ICCBR 2003, 2003.
- Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Konstan, Georg Lausen, Improving Recommendation Lists Through Topic Diversification, Proceedings of the 14th International World Wide Web Conference (WWW ’05), May 10-14, 2005, Chiba, Japan. (Thanks to Daniel Haran for pointing me this one.)
- D. Fleder, K. Hosanagar, Blockbuster culture’s next rise or fall: The effect of recommender systems on sales diversity, in: Proc. WISE 2006, 2006.
- S. M. McNee, J. Riedl, J. A. Konstan, Being accurate is not enough: how accuracy metrics have hurt recommender systems, in: Proc. CHI ’06 (2006) 1097 – 1101.
- Zhang, M. and Hurley, N. 2008. Avoiding monotony: improving the diversity of recommendation lists. In Proceedings of the 2008 ACM Conference on Recommender Systems (Lausanne, Switzerland, October 23 – 25, 2008). RecSys ’08. ACM, New York, NY, 123-130.
- Quoc Le, Alexander Smola, Direct Optimization of Ranking Measures, published online, 2008. (Thanks Mark Reid.)
You can find a few more references and some analysis in our technical report:
Daniel Lemire, Stephen Downes, Sébastien Paquet, Diversity in open social networks, published online, October 2008.
If I am missing any paper, tell me!
Maybe this warrants a Wikipedia page?