Cold start (recommender systems) | StudentB Wikipedia Search

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Recommender systems
Concepts
Collective intelligence Relevance Star ratings Long tail
Methods and challenges
Cold start Collaborative filtering Dimensionality reduction Implicit data collection Item-item collaborative filtering Matrix factorization Preference elicitation Similarity search
Implementations
Collaborative search engine Content discovery platform Decision support system Music Genome Project Product finder
Research
GroupLens Research MovieLens Netflix Prize ACM Conference on Recommender Systems
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Cold start is a potential problem in computer-based information systems which involves a degree of automated data modelling. Specifically, it concerns the issue that the system cannot draw any inferences for users or items about which it has not yet gathered sufficient information.

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