講演抄録/キーワード |
講演名 |
2010-05-20 11:00
Query Reformulation Type Classification using Query Log ○Jennifer Pidgeon・Yuichiro Sekiguchi・Tomohiro Tanaka・Tadasu Uchiyama(NTT)・Shigeru Fujimura・Takayoshi Mochizuki・Tomoya Suzuki(NTT Resonant) LOIS2010-2 |
抄録 |
(和) |
ユーザは良い検索結果を得るため,クエリをさまざまに変更しながら検索サービスを利用している.ユーザがどのようにクエリを変更しているかを知ることは,検索サービスの向上に重要な要素である.本論文ではspecification, generalization, parallel, format, otherの5種類のクエリの変更パターンを定義し,クエリ変更パターンの自動分類手法について提案する. |
(英) |
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. |
キーワード |
(和) |
クエリ分類 / クエリログ / ウェブ検索 / データマイニング / / / / |
(英) |
Query Classification / Query Log / Web Search / Data Mining / / / / |
文献情報 |
信学技報, vol. 110, no. 42, LOIS2010-2, pp. 7-12, 2010年5月. |
資料番号 |
LOIS2010-2 |
発行日 |
2010-05-13 (LOIS) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
LOIS2010-2 |