Abstract: One embodiment of the invention sets forth a mechanism for recommending digital items to a user. Each digital item in a set of digital items is scored based on user preferences and other metrics. The digital items are ordered based on scores. The digital items are then evaluated in order of respective rank to determine a subset of digital items that re recommended to the user. The evaluation process is based on different evaluation criteria as well as the presentation style of the recommended digital items.

Abstract: One embodiment of the present invention sets forth a technique for recommending digital content to a user of a digital content application based on continually learned patterns of behavior. Based on metrics collected from a current session of the digital content application, properties associated with one or more users interacting with the application are inferred. The inferred properties are matched against previously defined patterns of behavior to identify digital content that could be presented to the one or more users for optional selection.

Abstract: Genres and associated digital items are recommended to a user based on the interests of the user. Genres that are of interest to the user are determined based on user preferences gathered implicitly or explicitly. The genres are then scored and sorted based on different scoring and sorting techniques. A subset of the scored and sorted genres is then selected for recommending to the user.

Abstract: One embodiment of the present invention sets forth a technique for recommending digital content to a user of a digital content application based on continually learned patterns of behavior. Based on metrics collected from a current session of the digital content application, properties associated with one or more users interacting with the application are inferred. The inferred properties are matched against previously defined patterns of behavior to identify digital content that could be presented to the one or more users for optional selection.

Abstract: One embodiment of the invention sets forth a mechanism for recommending digital items to a user. Each digital item in a set of digital items is scored based on user preferences and other metrics. The digital items are ordered based on scores. The digital items are then evaluated in order of respective rank to determine a subset of digital items that re recommended to the user. The evaluation process is based on different evaluation criteria as well as the presentation style of the recommended digital items.

Abstract: One embodiment of the invention sets forth a mechanism for recommending genres and associated digital items to a user. Genres that are of interest to the user are determined based on user preferences gathered implicitly or explicitly. The genres are then scored and sorted based on different scoring and sorting techniques. A subset of the scored and sorted genres is then selected for recommending to the user.