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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Po Chih Chen Teng-Sheng Moh |
| Copyright Year | 2007 |
| Description | Author affiliation: San Jose State Univ. San Jose, San Jose (Po Chih Chen; Teng-Sheng Moh) |
| Abstract | Search engines give so many results that a user cannot handle them all in a short period of time. Many approaches have been proposed to alleviate this problem. For example, some approaches try to add personalized features and some try to group the results into different categories. The latter one is called a clustering engine, which is the emphasis of this paper. It first reviews several existing approaches such as STC, SHOC, LINGO and SnakeT. It then gives a new approach called HICSEC (Hierarchical Clustering Search Engine with Correlation) to improve the accuracy of clustering by the Correlation calculated with the Singular Value Decomposition. |
| Starting Page | 303 |
| Ending Page | 306 |
| File Size | 501148 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769530260 |
| DOI | 10.1109/WI.2007.105 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-11-02 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Tree graphs Humans Search engines Frequency HTML Internet Data mining Labeling Delay Singular value decomposition |
| Content Type | Text |
| Resource Type | Article |
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