Abstract
The amount of Web information is growing rapidly, improving the efficiency and accuracy of Web information retrieval is uphill battle. There are two fundamental issues regarding the effectiveness of Web information gathering: information mismatch and overload. To tackle these difficult issues, an integrated information filtering and sophisticated data processing model has been presented in this paper. In the first phase of the proposed scheme, an information filter that based on user search intents was incorporated in Web search process to quickly filter out irrelevant data. In the second data processing phase, a pattern taxonomy model (PTM) was carried out using the reduced data. PTM rationalizes the data relevance by applying data mining techniques that involves more rigorous computations. Several experiments have been conducted and the results show that more effective and efficient access Web information has been achieved using the new scheme.
Original language | English |
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Title of host publication | Proceedings of the IEEE/WIC/ACM international conference on web intelligence (WI 2007) |
Editors | Tsau Young Lin, Laura Haas, Janusz Kacprzyk, Rajeev Motwani, Andrei Broder, Howard Ho |
Place of Publication | Silicon Valley, CA |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 163-169 |
Number of pages | 7 |
ISBN (Print) | 9780769530260 |
DOIs | |
Publication status | Published - 2007 |
Externally published | Yes |
Event | IEEE/WIC/ACM international conference on web intelligence - Silicon Valley, CA Duration: 2 Nov 2007 → 5 Nov 2007 |
Conference
Conference | IEEE/WIC/ACM international conference on web intelligence |
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City | Silicon Valley, CA |
Period | 2/11/07 → 5/11/07 |