Method and apparatus of user recommendation system for in-vehicle apps

摘要

A method and system for recommending applications to users of in-vehicle infotainment systems are disclosed. Application rating data from many road vehicle infotainment system users are collected on a central server, including both explicit ratings and implicit ratings. Implicit ratings may be calculated based on application usage data. The user/application rating data is filtered for relevance, and then analyzed to determine inferred ratings for user/application relationships where no rating exists. The inferred ratings are calculated using both a user-driven consensus rating calculation and an application-driven consensus rating calculation. The inferred ratings, along with optional cyberspace-based external inputs, are used to synthesize application recommendations for users. The synthesized recommendations for application consideration are provided to the appropriate user via downloading from the central server to the infotainment system in the user's vehicle.

主权项

1. A method for making user recommendations for infotainment system applications, said method comprising:
collecting, on a central server computer including a processor and a memory module, user rating data for in-vehicle infotainment system applications from many infotainment system users, including both explicit ratings and implicit ratings; filtering the user rating data for the applications based on relevance to produce filtered user/application rating data; computing, on the central server computer, inferred ratings for user/application relationships where no rating is available, using the filtered user/application rating data in a user-driven consensus calculation; computing, on the central server computer, inferred ratings for user/application relationships where no rating is available, using the filtered user/application rating data in an application-driven consensus calculation; synthesizing user application recommendations based on the inferred ratings from the user-driven consensus calculation and the application-driven consensus calculation; and providing the user application recommendations to the infotainment system users for the user/application relationships where no rating is available and the inferred ratings are high.