miscellaneous-12
Context Aware Product Recommendation
3260 papers • 126 benchmarks • 313 datasets
Context-aware recommender systems (CARS) generate more relevant recommendations by adapting them to the specific contextual situation of the user. This article explores how contextual information can be used to create more intelligent and useful recommender systems.
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