Name
Abstract | ||
|---|---|---|
Most current Web search engines generate search results by analyzing queries and relevance between queries and Web-pages. However, as the number of Web-pages grows, this approach appears to be less efficient in finding relevant information. In many situations, search engines cannot determine what kind of information users want. We propose a framework of feedback search engine (FSE), which not only analyzes the relevance between queries and Web-pages but also uses clickthrough data to evaluate page-to-page relevance and re-generate content relevant search results. The efficient algorithms facilitating the framework are described. Making use of dynamical re-generating search results, FSE can provide its users more accurate and personalized information |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/WI.2006.12 | Proceedings - 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings), WI'06 |
Keywords | Field | DocType |
relevant information,content relevance mining,matrix algebra,re-generate content relevant search,search engine,dynamical re-generating search result,efficient algorithm,dynamical re-generating search results,relevance feedback,feedback search engine,search result,information user,search engines,page-to-page relevance,query processing,current web search engine,web-pages,personalized information,web search engine,web pages | Data mining,Metasearch engine,World Wide Web,Search engine,Relevance feedback,Web page,Semantic search,Information retrieval,Computer science,Matrix algebra,Search analytics | Conference |
Volume | Issue | ISSN |
null | null | null |
ISBN | Citations | PageRank |
0-7695-2747-7 | 0 | 0.34 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuexian Hou | 1 | 269 | 38.59 |
| Honglei Zhu | 2 | 33 | 5.39 |
| Pilian He | 3 | 29 | 7.46 |