A Collaboration-Based Recommender System and Its Working Method
A technology of recommendation system and working method, applied in the field of recommendation system
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Embodiment 1
[0071] A recommendation system based on collaboration, comprising: an edge system module, a collaboration center system module, and a target system module, wherein the edge system module, the collaboration center system module, and the target system module are sequentially connected;
[0072] The edge system module collects and stores user information and provides required specific user information to the cooperation center system module; the cooperation center system module responds to the cooperation request of the target system module and sends a cooperation request to the edge system module request, and perform inconsistency elimination and reasoning fusion on the user information obtained from the edge system module, and output the required specific user data to the target system module; the target system module provides personalized recommendation services to users, and Initiate a collaboration request to the system modules of the collaboration center during a cold start....
Embodiment 2
[0082] According to the working method of the recommendation system based on collaboration described in embodiment 1, the specific steps include:
[0083] (1) Request for cooperation
[0084] The recommendation system is set to recommend two movies for user c to watch in the afternoon. After the target system module receives the new combination of “user c×movie×afternoon”, after retrieval, there is no historical behavior information of user c in the user database unit, and the target system module initiates a collaboration request to the collaboration center system module ; The user includes: user c, user d, user e, user f, and the context information includes: early morning (4 o'clock-7 o'clock), morning (7 o'clock-12 o'clock), noon (12 o'clock-14 o'clock), afternoon (14 o'clock) 17:00), evening (17:00-22:00), late night (22:00-4:00), movies include: movie 1, movie 2, movie 3, movie 4, movie 5, user c has no movie rating history, user d has rating records of movies 1 and 3,...
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