Abstract: In non-limiting examples of the present disclosure, taste data is generated and usable within one or more applications. A taste is one or more elements that describe an entity. Information of an application may be processed to extract entity data that corresponds to a plurality of candidates to be designated as tastes (taste data). The candidates for the tastes are curated. In examples, the curating comprises filtering the candidates for tastes to remove extracted candidates. Extraction rules for managing structured taste data may be applied in the filtering. A status of a remaining candidate may be determined as approved or rejected based on processing of received user feedback. Taste data may be generated for an approved candidate. The generating of the taste data may comprise assigning parameters that include a descriptor type and a recommendation type. Taste data may be used within an application.

Abstract: In non-limiting examples of the present disclosure, taste data is generated and usable within one or more applications. A taste is one or more elements that describe an entity. Information of an application may be processed to extract entity data that corresponds to a plurality of candidates to be designated as tastes (taste data). The candidates for the tastes are curated. In examples, the curating comprises filtering the candidates for tastes to remove extracted candidates. Extraction rules for managing structured taste data may be applied in the filtering. A status of a remaining candidate may be determined as approved or rejected based on processing of received user feedback. Taste data may be generated for an approved candidate. The generating of the taste data may comprise assigning parameters that include a descriptor type and a recommendation type. Taste data may be used within an application.

Abstract: In non-limiting examples of the present disclosure, taste data is generated and usable within one or more applications. A taste is one or more elements that describe an entity. Information of an application may be processed to extract entity data that corresponds to a plurality of candidates to be designated as tastes (taste data). The candidates for the tastes are curated. In examples, the curating comprises filtering the candidates for tastes to remove extracted candidates. Extraction rules for managing structured taste data may be applied in the filtering. A status of a remaining candidate may be determined as approved or rejected based on processing of received user feedback. Taste data may be generated for an approved candidate. The generating of the taste data may comprise assigning parameters that include a descriptor type and a recommendation type. Taste data may be used within an application.

Abstract: Methods and apparatus related to identifying aspects of media files that are provided to users and ranking query suggestions based on the aspects. Some implementations are directed to ranking the query suggestions of the user who was provided the media file. Some implementations are directed to ranking the query suggestions of a second user that is in the same grouping as the first user. Some implementations are directed to ranking the query suggestions of the first user based on aspects that are related to the provided media file, but not directly associated with the provided media file.

Abstract: Methods and apparatus related to identifying aspects of media files that are provided to users and ranking query suggestions based on the aspects. Some implementations are directed to ranking the query suggestions of the user who was provided the media file. Some implementations are directed to ranking the query suggestions of a second user that is in the same grouping as the first user. Some implementations are directed to ranking the query suggestions of the first user based on aspects that are related to the provided media file, but not directly associated with the provided media file.