| Presentation | 2010-05-20 Query Reformulation Type Classification Using Query Log Jennifer PIDGEON, Yuichiro SEKIGUCHI, Tomohiro TANAKA, Tadasu UCHIYAMA, Shigeru FUJIMURA, Takayoshi MOCHIZUKI, Tomoya SUZUKI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Most web search engines today recommend more specific queries to users based on their current query. We think important query search information can come from looking at previous queries and seeing how the user reformulates their next query to find the results they are looking for. Our work aims to predict one of five given reformulation types between sequential query pairs. We use a support vector machine algorithm which utilizes features that analyze each query and the correlation between previous and post queries. In addition, we add characteristic classifiers which focus on only two reformulation types and finding distinct differences between them to aid the SVM algorithm predictions. Using both of these methods together produces 83% precision. The ability to predict the type of query a user will input next based on their searching history will lead the way for better query recommendation in web search engines. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Query Classification / Query Log / Web Search / Data Mining |
| Paper # | LOIS2010-2 |
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| Conference Information | |
| Committee | LOIS |
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| Conference Date | 2010/5/13(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Life Intelligence and Office Information Systems (LOIS) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Query Reformulation Type Classification Using Query Log |
| Sub Title (in English) | |
| Keyword(1) | Query Classification |
| Keyword(2) | Query Log |
| Keyword(3) | Web Search |
| Keyword(4) | Data Mining |
| 1st Author's Name | Jennifer PIDGEON |
| 1st Author's Affiliation | NTT Cyber Solutions Laboratories, NTT Corporation() |
| 2nd Author's Name | Yuichiro SEKIGUCHI |
| 2nd Author's Affiliation | NTT Cyber Solutions Laboratories, NTT Corporation |
| 3rd Author's Name | Tomohiro TANAKA |
| 3rd Author's Affiliation | NTT Cyber Solutions Laboratories, NTT Corporation |
| 4th Author's Name | Tadasu UCHIYAMA |
| 4th Author's Affiliation | NTT Cyber Solutions Laboratories, NTT Corporation |
| 5th Author's Name | Shigeru FUJIMURA |
| 5th Author's Affiliation | NTT Resonant Inc. |
| 6th Author's Name | Takayoshi MOCHIZUKI |
| 6th Author's Affiliation | NTT Resonant Inc. |
| 7th Author's Name | Tomoya SUZUKI |
| 7th Author's Affiliation | NTT Resonant Inc. |
| Date | 2010-05-20 |
| Paper # | LOIS2010-2 |
| Volume (vol) | vol.110 |
| Number (no) | 42 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |