Cold start (recommender systems)
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.
Cold start (recommender systems) - Wikipedia Jump to content From Wikipedia, the free encyclopedia Potential problem in computer-based information systems For the process of restarting a computer without performing any shut-down procedure, see hard reboot . For other uses, see Cold start . Recommender systems Concepts Accuracy barrier 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 Im
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