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Exploiting Semantic Hierarchies for Flickr Group

2010; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-642-15470-6_9

1611-3349

Dongyuan Lü, Qiudan Li,

Expert finding and Q&A systems

The development of Web 2.0 provides a convenient platform for on-line members to exchange information, keep contact with others and express oneselves. Flickr group, as a representative one, is a user-organized, user-managed community. However, the rapidly increasing amount of groups hampers users to browse them efficiently, thus brings challenges to the organization manner. As the hierarchy used in other systems (e.g., the Library of Congress) has verified its efficiency in helping users browsing, it also indicates potential significance in organizing Flickr groups. In this paper, we focus on exploiting semantic hierarchies for Flickr group. Our proposed method involves two main phases. Firstly, we extract hidden topics from groups to construct a topic-hierarchy. Then, through mapping the groups onto the topic-hierarchy, a group-hierarchy is constructed. To evaluate the efficiency of the solution, we perform experiments on a real-world dataset crawled from Flickr.com. Experimental results verify the feasibility of deriving the semantic hierarchies from Flickr groups, which facilitate users browsing experience.