Coal mine information recommendation system based on collaborative filtering

Abstract

The invention provides a coal mine information recommendation system based on collaborative filtering. The system comprises a coal mine information collaborative filtering module, a community user group access log module and a recommendation module, wherein the coal mine information collaborative filtering module is used for analyzing access logs of users and finding out user neighbors by means of a collaborative filtering algorithm; the community user group access log module is used for managing the logs; the recommendation module is used for calculating recommended information and recommending the information to the users. By the adoption of the system, items or information, according with requirements of the users, can be recommended to the users according to hobbies and interests of the users, and personalized service is achieved. The coal mine information recommendation system provides targeted recommendations according with specific users on the basis of the hobbies and interests of the users. Because of the recommendations, user experience is enhanced, user usage convenience is improved, and work efficiency of the users is improved.

Description

technical field [0001] The invention belongs to coal mine information system. Background technique [0002] Due to the rapid development of the Internet, the information capacity in various fields is very large, including the field of coal mines. In this context, the search engine system in the field of coal mining has been extensively researched and applied, which provides convenience for people to find useful information. However, with the continuous improvement of people's search needs, the deep processing of search results has gradually become a focus of research in this field. [0003] The traditional "One-Size-Fit-All" search mode can no longer satisfy users, and it is replaced by the personalization of search results, and the "information finds people" mode replaces "people find information". Therefore, coal mine information recommendation system is very necessary. [0004] A recommendation system generally refers to a system that takes personalized recommendations...

AI Technical Summary

Problems solved by technology

[0003] The traditional "One-Size-Fit-All" search mode can no longer satisfy users, and it is replaced by the personalization of search results, and the "information finds people" mode replaces "people find information"

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