{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00195679","sets":["1164:3865:9692:9772"]},"path":["9772"],"owner":"44499","recid":"195679","title":["レコメンドモデルにおけるCTRと相関の高いオフライン検証指標の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-05-16"},"_buckets":{"deposit":"f0a562aa-212f-44dc-9dfc-2ca0e3306b7b"},"_deposit":{"id":"195679","pid":{"type":"depid","value":"195679","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"レコメンドモデルにおけるCTRと相関の高いオフライン検証指標の提案","author_link":["466899","466900","466902","466901"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"レコメンドモデルにおけるCTRと相関の高いオフライン検証指標の提案"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"メディア・通信","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2019-05-16","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"株式会社NTTドコモ"},{"subitem_text_value":"株式会社NTTドコモ"},{"subitem_text_value":"株式会社NTTドコモ"},{"subitem_text_value":"株式会社NTTドコモ"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"NTT docomo Inc.","subitem_text_language":"en"},{"subitem_text_value":"NTT docomo Inc.","subitem_text_language":"en"},{"subitem_text_value":"NTT docomo Inc.","subitem_text_language":"en"},{"subitem_text_value":"NTT docomo Inc.","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/195679/files/IPSJ-MBL19091010.pdf","label":"IPSJ-MBL19091010.pdf"},"date":[{"dateType":"Available","dateValue":"2021-05-16"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MBL19091010.pdf","filesize":[{"value":"1.5 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":"35"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"62951bfe-8bd4-4f28-b1e5-530bc2da7dc6","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2019 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"伊藤, 拓"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"田中, 茂樹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"落合, 桂一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"深澤, 佑介"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11851388","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_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8817","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，Web サービスのコンテンツを推薦するためのレコメンドモデルの研究が盛んに行われている．レコメンドモデルはオンラインでの CTR を向上させることが目的であるが，研究の多くは簡単のためオフライン検証の精度指標である MAP@k, AUC SCORE を用いて評価しているものが多い．オンライン指標とオフライン指標は必ずしも相関があるわけではないので，オフライン検証で精度の高いモデルの CTR が実際に高いとは限らない．本論文では，CTR と相関の高いオフライン指標として，複数の指標 (レコメンド結果の新規性，多様性，意外性，およびレコメンド対象のユーザの視聴傾向の多様性) を提案する．CTR と提案指標の相関を評価するために，動画配信サービスのある期間の CTR を提案指標から予測する検証を行った．MAP@k, AUC SCORE のみを用いて CTR を予測した場合の予測誤差 (MSE) は 0.6 であったが，上記提案指標を考慮した予測手法では CTR の MSE が 0.2 に減少することを確認した．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告モバイルコンピューティングとパーベイシブシステム（MBL）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2019-05-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"10","bibliographicVolumeNumber":"2019-MBL-91"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":195679,"updated":"2025-01-19T22:58:08.096932+00:00","links":{},"created":"2025-01-19T01:00:35.529584+00:00"}