Abstract:
Systems and methods are disclosed for determining media consumption preferences. A method may include accessing media consumption history associated with a user. The media consumption history may include at least one of media purchase history of the user, media viewing history of the user, and media listening history of the user. A media category preference of the user may be determined, based on the media consumption history. The media category preference may include a popularity indication for each of a plurality of media categories of media items in the media consumption history. Search results provided in response to a search query by the user and/or media recommendations prepared for the user may be scored based on the media category preference. The media may include a video, a movie, a TV show, a book, an audio recording, a music album and/or another type of digital media.
Abstract:
A server system, which manages distribution or download of content, may obtain data relating to interactions between a user and one or more other server systems providing services that are different from services provided by the server system. The server system may then analyze the obtained interactions related data, with the analysis comprising identifying content accessed, obtained, or used by the user during the interactions between the user and the one or more other server systems. The server system may then map that content to one or more other contents available in the server system, and may generate, based on that mapping, recommendation information personalized for the user.
Abstract:
A system and/or method is provided for using a scatter gather information retrieval system for live recommendation generation. The method may include retrieving user information classified in a plurality of categories. For at least one of the plurality of categories, a document recommendation query may be generated based on the user information classified in a corresponding one of the plurality of categories. For each generated recommendation query, a plurality of documents satisfying the recommendation query may be retrieved from a corpus of documents. The corpus may classify a plurality of documents of a determined type available for consumption by the user. Each retrieved plurality of documents may be ranked to generate a final list of recommendations for the user. Each of the plurality of documents may include identifying information for a book, a song, a video, a movie, a music album, an application, and/or a TV show.
Abstract:
The disclosed subject matter presents a method of using social connections to provide a content region definition that priorities the display of content on a user device based on information obtained from the social connections of the user.
Abstract:
A method for retrieving information may include receiving, in a non-World Wide Web (WWW) corpus, a search query for a media author. Search results for the search query may be identified within the non-WWW corpus. A score for each of a plurality of media authors identified in the search results may be generated. The score for a corresponding one of the plurality of media authors may be based on a combined media popularity score for a plurality of media items authored by the corresponding one of the plurality of media authors. The search results may be ranked based on the generated score for each of the plurality of media authors.
Abstract:
The present disclosure describes a data indexing and search service that resides locally on a computing device (e.g., a mobile phone) and that can host data for multiple applications on the device. By centralizing the storage of data as well as the search and query functions, unified search queries can be performed by the service.
Abstract:
A method for retrieving information includes receiving a search query within an information corpus. Search results for the search query may be identified. A score for each of a plurality of data items identified in the search results may be generated. The score for a corresponding one of the plurality of data items may be based on a score dependent on the search query within the information corpus. The score may be also based on at least one score independent of the search query. The at least one score independent of the search query may include a ranking signal associated with a World Wide Web (WWW) search of the corresponding one of the plurality of data items using a second information corpus. The search results may be ranked based on the generated score.