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A Collaboration-Based Recommender System and Its Working Method
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A technology of recommendation system and working method, applied in the field of recommendation system
Active Publication Date: 2018-04-10
SHANDONG UNIV
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The collaboration mechanism is a process of data fusion, which solves the cold start problem in a single recommendation system, so that the services provided by the recommendation system can accurately meet the individual needs of users
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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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Abstract
A recommendation system based on collaboration, including: an edge system module, a collaboration center system module, and a target system module, and the edge system module, the collaboration center system module, and the target system module are connected in sequence; the edge system module collects and stores user information and sends it to the collaboration center The system module provides the required specific user information; the cooperation center system module responds to the cooperation request of the target system module, sends a cooperation request to the edge system module, and performs inconsistency elimination and reasoning fusion on the user information, and outputs the required information to the target system module. Specific user data; the target system module provides a personalized recommendation service to the user, and initiates a collaboration request to the collaboration center system module during a cold start. The present invention adds a user cooperation mechanism to the recommendation system, and the cooperation center system module completes the cooperation function between multiple recommendation systems, performs fusion processing on the multi-source data of a specific user, and effectively solves the cold start problem in the recommendation system.
Description
technical field [0001] The invention relates to a recommendation system based on collaboration and a working method thereof, belonging to the technical field of recommendation systems. Background technique [0002] With the development of information technology and the Internet, people have gradually entered an era of information overload from an era of information scarcity. In this era, both information consumers and information producers have encountered great challenges: as information consumers, How to find the information you are interested in from a large amount of information is a very difficult thing; as an information producer, how to make the information you produce stand out and attract the attention of the majority of users is also a very difficult thing. Search engine is a representative method to solve information overload, and users can quickly find the information they need through keyword search. However, search engines require users to actively provide acc...
Claims
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