Thinkanalytics

Richard Dowling

Peter Docherty

Christopher McGuire

Bryan Bossard

Xiaowei Zhang

Craig Palmer

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.

Computer-implemented method for determining content for a content distribution system

A computer-implemented method of providing one or more content item recommendations for a user of a content distribution system, comprising: determining if a user search using a title of content finds the title of content in one or more content sources available to the user; identifying, in response to the title of content not being found in the one or more content sources, content in a content library by determining if the title of content is in the content library, wherein the content library contains metadata concerning items of content in the content library, the metadata representing at least some properties of the items of content; using, in response to the title of content being determined to be in the content library, the metadata of the identified content in the content library and metadata concerning content available from the one or more content sources available to the user to generate at least one content item recommendation for the user, wherein the at least one content item recommendation is for recommended content that is related to the identified content, and providing the at least one content item recommendation to the user.

Content recommendation system and method

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.

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Glasgow, Lanarkshire, United Kingdom

Richard Dowling