Improving Recommender System Diversity with Variational Autoencoders
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-37249-0_7
Reference23 articles.
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3. Aytekin, T., Karakaya, M.Ö.: Clustering-based diversity improvement in top-n recommendation. J. Intell. Inf. Syst. 42(1), 1–18 (2014)
4. Bradley, K., Smyth, B.: Improving recommendation diversity (2001)
5. Carbonell, J., Goldstein, J.: The use of MMR, diversity-based reranking for reordering documents and producing summaries. In: Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 335–336. SIGIR 1998, Association for Computing Machinery, New York, NY, USA (1998). https://doi.org/10.1145/290941.291025. https://doi-org.libproxy.aalto.fi/10.1145/290941.291025
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