TY - GEN
T1 - A new visual search interface for web browsing
AU - Xu, Songhua
AU - Jin, Tao
AU - Lau, Francis C.M.
PY - 2009
Y1 - 2009
N2 - 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/.
AB - 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/.
KW - Document summarization
KW - Online browsing and navigation
KW - Visual search interface
KW - Web search
UR - http://www.scopus.com/inward/record.url?scp=70349152630&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70349152630&partnerID=8YFLogxK
U2 - 10.1145/1498759.1498821
DO - 10.1145/1498759.1498821
M3 - Conference contribution
AN - SCOPUS:70349152630
SN - 9781605583907
T3 - Proceedings of the 2nd ACM International Conference on Web Search and Data Mining, WSDM'09
SP - 152
EP - 161
BT - Proceedings of the 2nd ACM International Conference on Web Search and Data Mining, WSDM'09
T2 - 2nd ACM International Conference on Web Search and Data Mining, WSDM'09
Y2 - 9 February 2009 through 12 February 2009
ER -