Thinkanalytics

Bryan Bossard

Peter Docherty

Christopher McGuire

Alan Ryman

Ewen Cattanach

Asim Ullah

Richard Dowling

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 for providing content recommendations for a user of a content distribution system, the method comprising:

System and methods for performing content recommendation procedures

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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Canyon Country, CA, United States of America

Bryan Bossard