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A new visual search interface for web browsing
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Source Web Search and Web Data Mining archive
Proceedings of the Second ACM International Conference on Web Search and Data Mining table of contents
Barcelona, Spain
SESSION: User interaction table of contents
Pages 152-161  
Year of Publication: 2009
ISBN:978-1-60558-390-7
Authors
Songhua Xu  Zhejiang University, Hangzhou, Zhejiang, P.R. China and Yale University, New Haven, Connecticut and The University of Hong Kong, Hong Kong, P.R. China
Tao Jin  The University of Hong Kong, Hong Kong, P.R. China
Francis C. M. Lau  The University of Hong Kong, Hong Kong, P.R. China
Sponsors
SIGMOD: ACM Special Interest Group on Management of Data
: Google
SIGIR: ACM Special Interest Group on Information Retrieval
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
: Yahoo! Research
Microsoft : Microsoft
: Nokia
SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
Publisher
ACM  New York, NY, USA
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ABSTRACT

We introduce a new visual search interface for search engines. The interface is a user-friendly and informative graphical front-end for organizing and presenting search results in the form of topic groups. Such a semantics-oriented search result presentation is in contrast with conventional search interfaces which present search results according to the physical structures of the information. Given a user query, our interface first retrieves relevant online materials via a third-party search engine. And then we analyze the semantics of search results to detect latent topics in the result set. Once the topics are detected, we map the search result pages into topic clusters. According to the topic clustering result, we divide the available screen space for our visual interface into multiple topic displaying regions, one for each topic. For each topic's displaying region, we summarize the information contained in the search results under the corresponding topic so that only key messages will be displayed. With this new visual search interface, users are conveyed the key information in the search results expediently. With the key information, users can navigate to the final, desired results with less effort and time than conventional searching. Supplementary materials for this paper are available at http://www.cs.hku.hk/~songhua/visualsearch/.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Songhua Xu: colleagues
Tao Jin: colleagues
Francis C. M. Lau: colleagues