Recommender control system, apparatus, method and related aspects

摘要

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.