Tag-Based Interest-Matching Users Discovery Approach in Online Social Network

다국어 초록 (Multilingual Abstract)

With the popularity of online social networks, such as Facebook, YouTube and Douban, have become a channel for fast information propagation and influence. The problem of discovering common interests shared by groups of users has become one of the central researches because it helps to connect users with common interests and can eventually influence as many users with common interests in the online social network as possible. Unfortunately, most of existing related works have only focused on the network topologies and so unable to identify the common interests of users who have no online connections. In an online social network, users tend to use descriptive tags to annotate the contents that they are interested in. User-generated tags are consistent with the content they are attached to. Thus, patterns of frequent co-occurrences of user tags can be used to characterize and capture topics of user interests. In this paper, we propose a novel common interests discovery approach based on user-generated tags to discover the set of interest-matching users whose interests are similar. The experiment results show that our approach can effectively discover user communities with common interests no matter if they have any online connections.

목차 (Table of Contents)

• Abstract
• 1. Introduction
• 2. Data Collection and Pre-Processing
• 3. Discovering Common Interests with Tags
• 3.1. The Vocabulary of Tags and Keywords
• 3.2. Tag Match Ration
• 3.3. Relationship between User’s Common Interest and Tags
• 4. Discovering Interest-Matching Users with Tags
• 5. Conclusion
• References