| 摘要 |
An approach is provided for feature-based collaborative filtering. A recommendation engine receives a request to generate one or more recommendations with respect to one or more items for one or more users. The recommendation engine processes and/or facilitates a processing of descriptive information associated with the one or more items to generate a mapping of the one or more items to one or more features. In one embodiment, the mapping brings performance improvements particularly when applied to time-dependent and/or keyword-based items. The recommendation engine then determines preference information with respect to the one or more features for the one or more users. Based, at least in part, on the mapping and the preference information, the recommendation engine generates the one or more recommendations. |
