By Topic

Diversification of Web Search Results through Social Interest Mining

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Yuqing Mao ; Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore ; Haifeng Shen ; Chengzheng Sun

Traditional information retrieval techniques mainly focus on improving the relevance of result documents retrieved by a query. In most informational (or exploratory) search tasks, formulated queries may often fail to precisely capture users' real intents, and consequently retrieved results may not adequately satisfy their information needs. However, if the retrieved results were diverse in nature, some results would likely be able to meet the user's information need. In this paper, we present a novel search results diversification technique that integrates social interest mined from query logs with a probabilistic model based on query-URL bipartite graphs. A query can retrieve relevant and diverse results by incorporating the social interest, discovered through kernel principle component analysis on the related queries and URLs, with random walk on the bipartite graph. We have conducted a set of experiments to validate this technique and the results show that this technique outperforms existing results diversification techniques in terms of both the relevance and the diversity of result documents retrieved by a query.

Published in:

System Science (HICSS), 2012 45th Hawaii International Conference on

Date of Conference:

4-7 Jan. 2012