Systems And Methods For Recommendation System Based On Implicit Feedback

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 t...

Full description

Saved in:
Bibliographic Details
Main Authors Fazli, Eriza, Berioli, Matteo, Aussel, Nicolas
Format Patent
LanguageEnglish
Published 05.12.2019
Subjects
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
Online AccessGet full text

Cover

More Information
Summary: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.
Bibliography:Application Number: US201916428632