A Survey on Trustworthy Recommender Systems
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A survey of serendipity in recommender systems
We summarize most efforts on serendipity in recommender systems.We compare definitions of serendipity in recommender systems.We classify the state-of-the-art serendipity-oriented recommendation algorithms.We review methods to assess serendipity in ...
Recommender systems survey
Recommender systems have developed in parallel with the web. They were initially based on demographic, content-based and collaborative filtering. Currently, these systems are incorporating social information. In the future, they will use implicit, local ...
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![cover image ACM Transactions on Recommender Systems](/cms/asset/5a231535-44b4-405d-b1a0-57afb64cb7f0/default_cover.jpg)
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Association for Computing Machinery
New York, NY, United States
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