SYSTEMS AND METHODS FOR RECOMMENDATION SYSTEM BASED ON IMPLICIT FEEDBACK

摘要

Systems and methods are described for providing a recommendation system for a vehicular content distribution network. A static recommendation list can be generated based on travel characteristics stored in a server. An efficiency threshold can be calculated or provided that sets the point at which the static recommendation should no longer be used for recommendations and the recommendation system can be used. Data is gathered of each user's preference based on implicit feedback, and the data is then analyzed to calculate an efficiency level of the recommendation system operating with gathered data for a user. The recommendation system is automatically used for a specific user when the efficiency level meets or exceeds the efficiency threshold.