{"_buckets": {"deposit": "c531fcd6-73cf-4c81-9a9d-6b36e4ad4db3"}, "_deposit": {"created_by": 23, "id": "2001303", "owners": [23], "pid": {"revision_id": 0, "type": "depid", "value": "2001303"}, "status": "published"}, "_oai": {"id": "oai:repository.nii.ac.jp:02001303", "sets": ["1697763112205"]}, "author_link": [], "control_number": "2001303", "item_30002_conference34": {"attribute_name": "会議記述", "attribute_value_mlt": [{"subitem_conference_country": "JPN", "subitem_conference_date": {"subitem_conference_date_language": "en", "subitem_conference_end_day": "15", "subitem_conference_end_month": "12", "subitem_conference_end_year": "2023", "subitem_conference_period": "December 12-15, 2023", "subitem_conference_start_day": "12", "subitem_conference_start_month": "12", "subitem_conference_start_year": "2023"}, "subitem_conference_names": [{"subitem_conference_name": "NTCIR-17 Conference", "subitem_conference_name_language": "en"}], "subitem_conference_sequence": "17", "subitem_conference_sponsors": [{"subitem_conference_sponsor": "National Institute of Informatics", "subitem_conference_sponsor_language": "en"}], "subitem_conference_venues": [{"subitem_conference_venue": "National Institute of Informatics", "subitem_conference_venue_language": "en"}]}]}, "item_30002_creator2": {"attribute_name": "作成者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Fan Li", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Shi Kaize", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Kenta Inaba", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Sijie Tao", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Nuo Chen", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Tetsuya Sakai", "creatorNameLang": "en"}]}]}, "item_30002_date11": {"attribute_name": "日付", "attribute_value_mlt": [{"subitem_date_issued_datetime": "2023-12-12", "subitem_date_issued_type": "Issued"}]}, "item_30002_description9": {"attribute_name": "内容記述", "attribute_value_mlt": [{"subitem_description": "The RSLFW team participated in the NTCIR-17 FairWeb 1 Task. This paper reports our approach to solving the problem and dis- cusses the official results. We applied several different methods to generate 5 runs, including PM-1, PM-2 and DetGreedy algorithm, all of which are post-processing approaches. We also utilized COIL (Contextualize Inverted List) as the RSLFW baseline. By combining official baseline and COIL baseline with different fairness-related algorithm, we analyzed the results of those methods. 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RSLFW at the NTCIR-17 FairWeb-1 Task
https://doi.org/10.20736/0002001303
https://doi.org/10.20736/0002001303