Abstract: A computer-implemented method for determining desirable content for a content distribution system is disclosed. The method comprises: for each of a plurality of user devices, monitoring user activity including identifying content that the user of the user device has interacted with; obtaining metadata concerning the identified items of content, the metadata representing at least some properties of the identified items of content; aggregating the metadata for a plurality of users; using the aggregated metadata to identify one or more items or combinations of metadata popular with the plurality of users; and using the identified metadata to determine desirable content.

Abstract: A computer-implemented method and system for creating a virtual channel based on linear broadcast content, is disclosed. The method comprises obtaining scheduling information and content information associated with a plurality of content items in a content schedule for two or more existing channels, the content information comprising at least an identifier for each content item; determining, for each timeslot in a predetermined time period, a ranking for each content item scheduled in each timeslot; selecting, for each timeslot, a content item based on the ranking; and creating one or more virtual channel schedules comprising at least the identifier for the selected content items from the two or more existing channels.

Abstract: A computer-implemented method for providing content recommendations for a user of a content distribution system, the method comprising: opening a content recommendation session for a selected user, wherein a plurality of data processing procedures, or operations, are available for use during the content recommendation session, the plurality of data processing procedures comprising at least one type of content recommendation procedure for generating one or more content recommendation candidates based on user data and/or content metadata and/or other content information; wherein the method further comprises performing a combining process using one or more of the plurality of procedures to generate one or more content recommendation candidates, wherein the combining process comprises at least: receiving at least one content recommendation request for the selected user; processing said at least one request using at least a first procedure selected from the plurality of procedures to generate at least one or mo

Abstract: A method, system and computer program product for determining use cases for a content selection interface that provides user selectable indications of content available from a content provider according to the use cases. The indications of available content are selectable by a user to have the content provided to the user by the content provider. The method comprises, using a computing system: accessing, from at least one computer readable data store, historical data representing previous user actions of a plurality of users using a content selection interface; identifying, using the computing system, one or more attributes associated with the user actions from the historical data; and using the identified attributes to configure one or more use cases for providing indications of available content on the content selection interface.

Abstract: A method, system and computer program product for determining use cases for a content selection interface that provides user selectable indications of content available from a content provider according to the use cases. The indications of available content are selectable by a user to have the content provided to the user by the content provider. The method comprises, using a computing system: accessing, from at least one computer readable data store, historical data representing previous user actions of a plurality of users using a content selection interface; identifying, using the computing system, one or more attributes associated with the user actions from the historical data; and using the identified attributes to configure one or more use cases for providing indications of available content on the content selection interface.

Abstract: A computer-implemented method for providing content recommendations for a user of a content distribution system, the method comprising: opening a content recommendation session for a selected user, wherein a plurality of data processing procedures, or operations, are available for use during the content recommendation session, the plurality of data processing procedures comprising at least one type of content recommendation procedure for generating one or more content recommendation candidates based on user data and/or content metadata and/or other content information; wherein the method further comprises performing a combining process using one or more of the plurality of procedures to generate one or more content recommendation candidates, wherein the combining process comprises at least: receiving at least one content recommendation request for the selected user; processing said at least one request using at least a first procedure selected from the plurality of procedures to generate at least one or more

Abstract: A computer-implemented method of configuring a content selection interface and associated system, the method comprising: identifying groups of content; obtaining user activity, wherein the user activity comprises interactions by the user with groups of content on a content selection interface; and ordering groups of content for presentation to the user on the content selection interface based at least in part on the user activity of that user.

Abstract: A computer-implemented method for generating one or more content recommendation, the method comprising: opening a content recommendation session for a selected user, wherein, as part of the session, a content recommendation procedure for generating one or more recommendation candidates based on a seed content item or seed content item identifier is available; receiving a request representing one or more desired content attributes; performing the content recommendation procedure thereby to generate one or more content recommendation candidates for the desired content attributes.

Abstract: A computer-implemented method for determining desirable content for a content distribution system is disclosed. The method comprises: for each of a plurality of user devices, monitoring user activity including identifying content that the user of the user device has interacted with; obtaining metadata concerning the identified items of content, the metadata representing at least some properties of the identified items of content; aggregating the metadata for a plurality of users; using the aggregated metadata to identify one or more items or combinations of metadata popular with the plurality of users; and using the identified metadata to determine desirable content.