Abstract:
Disclosed are various embodiments for dynamically determining media consumption of a user. A user may perform at least one of a plurality of consumption indication events for a media item. The consumption indication events may include submitting a rating of the media item, submitting a review of the media item, indicating a present consumption of the media item, indicating a past consumption of the media item, etc. It may be determined that the user has consumed the media item in response to determining that the user has performed at least one of the consumption indication events for the media item.
Abstract:
Disclosed are various embodiments for a request monitoring application. Content identifiers are generated according to a known sequence or pattern. Requests for invalid content identifiers are logged. Response behavior to subsequent requests is modified when a number of requests from a source having invalid content identifiers meets a threshold.
Abstract:
Disclosed are various embodiments for a request monitoring application. Content identifiers are generated according to a known sequence or pattern. Requests for invalid content identifiers are logged. Response behavior to subsequent requests is modified when a number of requests from a source having invalid content identifiers meets a threshold.
Abstract:
Disclosed are various embodiments for a request monitoring application. Content identifiers are generated according to a known sequence or pattern. Requests for invalid content identifiers are logged. Response behavior to subsequent requests is modified when a number of requests from a source having invalid content identifiers meets a threshold.
Abstract:
Systems and methods for classifying and ranking one or more keywords associated with a media work may be provided. In an embodiment, a system can recommend a set of media works in response to receiving information about a keyword associated with a media work. The system can recommend the set of media works based on aggregated classification information for a plurality of keywords associated with a plurality of media works, and aggregated rating information for the aggregated classification information. In an example, the aggregated rating information can represent the relevancy of a classification associated with at least one media work of the plurality of media works.