{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00018663","sets":["1164:1165:1166:1167"]},"path":["1167"],"owner":"1","recid":"18663","title":["検索傾向の部分的な類似に基づくトピッククラスタリング"],"pubdate":{"attribute_name":"公開日","attribute_value":"2008-09-14"},"_buckets":{"deposit":"4615f3c8-e10c-40c5-9d91-3b800330b7bd"},"_deposit":{"id":"18663","pid":{"type":"depid","value":"18663","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"検索傾向の部分的な類似に基づくトピッククラスタリング","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"検索傾向の部分的な類似に基づくトピッククラスタリング"},{"subitem_title":"Topic Clustering Based on Partial Similarity of the Search Tendency","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2008-09-14","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"兵庫県立大学大学院環境人間学研究科"},{"subitem_text_value":"兵庫県立大学大学院工学研究科"},{"subitem_text_value":"兵庫県立大学環境人間学部"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Human Science and Environment, University of Hyogo","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Engineering, University of Hyogo","subitem_text_language":"en"},{"subitem_text_value":"School of Human Science and Environment, University of Hyogo","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/18663/files/IPSJ-DBS08146031.pdf"},"date":[{"dateType":"Available","dateValue":"2010-09-14"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DBS08146031.pdf","filesize":[{"value":"1.0 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"13"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"36f044c6-e913-4149-b7ad-ccaf43372a80","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2008 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"小野田, 透"},{"creatorName":"湯本, 高行"},{"creatorName":"角谷, 和俊"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Toru, Onoda","creatorNameLang":"en"},{"creatorName":"Takayuki, Yumoto","creatorNameLang":"en"},{"creatorName":"Kazutoshi, Sumiya","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10112482","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"ユーザが検索を行う際，入力されたクエリに応じてシステムがクエリの推薦を行うサービスが普及している．このようなサービスはユーザが適切なクエリを入力できない場合などに効果的である．しかしながら，推薦されるクエリ同士の関連性などはあまり考慮されていない．そのような問題に対し，関連するクエリの抽出を行う研究が行われているが，それらは語の共起情報や検索傾向の類似性から関連するクエリを抽出するものが主である．本稿では，クエリの過去の検索データをクエリログをから取得し，異なる時期に検索が行われたクエリや検索の傾向が異なるクエリから，関連するクエリを抽出する手法を提案する．関連するクエリの判定が可能になることで，あるクエリを用いて検索を行ったユーザに対して別のクエリを推薦し，トピックに関して異なる視点を提供したり，ユーザに必要のないクエリを排除するなど，検索を効率的に行う支援を行うことが可能になると考えられる．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Query recommendation system based on inputted queries became widespread. These service are effective if user cannot input relevant queries. However, the conventional systems don’t consider the relevance between recommend queries. There are some earlier studies to extract related keywords, but most of them based on co-occurring keywords or similarity between the search tendencies. In this paper, we propose a method to extract related queries used at different times and having different tendencies from query-log data.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"186","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告データベースシステム（DBS）"}],"bibliographicPageStart":"181","bibliographicIssueDates":{"bibliographicIssueDate":"2008-09-14","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"88(2008-DBS-146)","bibliographicVolumeNumber":"2008"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"id":18663,"updated":"2025-01-22T22:37:18.797071+00:00","links":{},"created":"2025-01-18T22:51:20.322204+00:00"}