System and method for recommending domain information based on microblog platform

Abstract

The invention discloses a system and method for recommending domain information based on a microblog platform. The system comprises a data obtaining and preprocessing module, a domain key word extracting module, a user defined key word extending module, a linear combining module, a similarity calculating and personality recommending module and a subject obtaining module; the method for recommending the domain information is designed and achieved aimed at the character of the microblog platform. According to the method, seamless combination is conducted between key word extracting and key word expanding, thus the extracting of domain character is guaranteed, the dynamism of a recommending result is also guaranteed, and through the experiment of the corresponding system based on Sina microblog, the effectiveness of the method is verified; the method can assist enterprises in microblog marketing, and thus the efficiency in microblog marketing of the enterprises can be effectively improved.

Description

technical field [0001] The invention relates to a field microblog recommendation system and method under a microblog platform, which supports unguided field feature extraction and user-defined keywords, and belongs to the field of computer technology. Background technique [0002] As the Internet enters the post-WEB2.0 era, social functions have become a model for the great changes in the Internet. Major social networking sites have sprung up and quickly occupied the dominance of the Internet. As early as March 2010, the famous American social networking site Facebook TM In terms of traffic, it surpassed Google and became the largest website in the United States. In China, emerging social media such as Sina Weibo are also rising rapidly. As of May 16, 2012, the number of users of Sina Weibo has reached 300 million, which is second only to the number of users accumulated over ten years in the domestic Internet market. Tencent QQ products. On the other hand, according to th...

AI Technical Summary

Problems solved by technology

This greatly reduces the practicality and portability of the algorithm

[0012] (3) Another type of algorithm builds a model based on the global corpus, which is computationally expensive and not universally applicable

This method needs to solve the contradiction that the precision rate and the recall rate cannot have both the accuracy rate and the recall rate in the process of obtaining domain-related information by enterprise users on the Weibo platform.

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