Abstract: User interaction data is heuristically processed to determine its usefulness to a remote recommender system. The data is ranked according it its likely ability to indicate a user preference towards a particular content item. The amount of data sent to the recommender system can then be limited to data records falling in a predetermined range of usefulness. A controller may be provided to determine what range is necessary so that the minimum amount of training data is provided to the recommender system to drive the recommender system's performance towards a set level.

Abstract: A recommender system (18) is described which is capable of being controlled using training data provided by an external controller (16). The controller (16) is arranged to control the input of training data from client devices (22) to a recommender system (18) to drive the recommender system's performance towards a set level.

Abstract: Methods, apparatus and systems are disclosed for managing streamed communication (such as video, audio, or audio-visual communication) between client devices and remote devices via a digital data communication network in situations where the data communication network comprises one or more routers operable to receive streamed data from one or more client devices and/or from one or more other routers, and to forward such streamed data to one or more remote devices and/or to one or more other routers such as to enable the client device and potentially-varying subsets of the one or more remote devices to participate in a communication session.

Abstract: User interaction data is heuristically processed to determine its usefulness to a remote recommender system. The data is ranked according it its likely ability to indicate a user preference towards a particular content item. The amount of data sent to the recommender system can then be limited to data records falling in a predetermined range of usefulness. A controller may be provided to determine what range is necessary so that the minimum amount of training data is provided to the recommender system to drive the recommender system's performance towards a set level.

Abstract: A recommender system (18) is described which is capable of being controlled using training data provided by an external controller (16). The controller (16) is arranged to control the input of training data from client devices (22) to a recommender system (18) to drive the recommender system's performance towards a set level.

Abstract: Methods, apparatus and systems are disclosed for managing streamed communication (such as video, audio, or audio-visual communication) between client devices and remote devices via a digital data communication network in situations where the data communication network comprises one or more routers operable to receive streamed data from one or more client devices and/or from one or more other routers, and to forward such streamed data to one or more remote devices and/or to one or more other routers such as to enable the client device and potentially-varying subsets of the one or more remote devices to participate in a communication session.