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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.

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Map overview Semantic statistics

Cold start (recommender systems)

Nodes41
Edges40
Triples1
Avg. degree1.95
Density0.04878
Components1

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Important terminology Word statistics

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Important terminology

user items item recommender new interactions users information problem system user's available collaborative cold feature systems case algorithms features start

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
five factor modelinstance ofPersonality characteristics of the user can be identified using a personality model0.80text

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