Cold-Start User
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A Cold-Start User is a user with few (if any) user interactions.
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- Counter-Example(s):
- See: Missing Value, Cold-Start Recommendation Task.
References
2009
- (Jamali et al., 2009) ⇒ Mohsen Jamali, and Martin Ester. (2009). “TrustWalker: A Random Walk Model for Combining Trust-based and Item-based Recommendation.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557067
- QUOTE: Collaborative filtering is the most popular approach to build recommender systems and has been successfully employed in many applications. However, it cannot make recommendations for so-called cold start users that have rated only a very small number of items. In addition, these methods do not know how confident they are in their recommendations. Trust-based recommendation methods assume the additional knowledge of a trust network among users and can better deal with cold start users, since users only need to be simply connected to the trust network.