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New Technology of Library and Information Service  2015, Vol. 31 Issue (1): 52-58    DOI: 10.11925/infotech.1003-3513.2015.01.08
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Research on Discovering Micro-blog User Interests
Shi Weijie1, Xu Yabin1,2
1. Computer School, Beijing Information Science and Technology University, Beijing 100101, China;
2. Beijing Key Laboratory of Internet Culture and Digital Dissemination Research, Beijing Information Science and Technology University, Beijing 100101, China
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[Objective] Discovering the micro-blog user interests plays an important role in the personalized recommendation of micro-blog social network to improve users' satisfaction. [Methods] In this paper, apart from the data mining from the user's own micro-blog, analyze the data of the micro-blogs that followed by this user, as well as the social correlation among them. By computing the similarity between their micro-blogs and intimacy, uncover the user interests further. Also combine the results coming from the two aforementioned aspects to get the interest set of users. [Results] This paper experiments on the dataset gained from Sina Micro-blog, and the precision rate and recall rate rise both more than 15% compared with the traditional method. [Limitations] The stop words are not full in the process of data preprocessing, because of not realize the automatic learning the list of stop words. And needs manually tagging user interest set to calculate the precision rate and recall rate. [Conclusions] The experimental results show that the method is better than the traditional method, and it's more effective and accurate to discover user interests.

Key wordsMicro-blog      Discover interests      Following users     
Received: 14 July 2014      Published: 12 February 2015
:  TP393  

Cite this article:

Shi Weijie, Xu Yabin. Research on Discovering Micro-blog User Interests. New Technology of Library and Information Service, 2015, 31(1): 52-58.

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