Exploiting semantic hierarchies for Flickr group

Authors:
Dongyuan Lu;Qiudan Li
Affiliations:
Institute of Automation, Chinese Academy of Sciences, Beijing, China;Institute of Automation, Chinese Academy of Sciences, Beijing, China
Venue:
AMT'10 Proceedings of the 6th international conference on Active media technology
Year:
2010

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Abstract

The development of Web 2.0 provides a convenient platform for online members to exchange information, keep contact with others and express oneselves. Flickr group, as a representative one, is a user-organized, usermanaged 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 topichierarchy. Then, through mapping the groups onto the topic-hierarchy, a grouphierarchy is constructed. To evaluate the efficiency of the solution, we perform experiments on a real-world dataset crawled from Flickr.com1. Experimental results verify the feasibility of deriving the semantic hierarchies from Flickr groups, which facilitate users browsing experience.