{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T01:02:34Z","timestamp":1774400554311,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,18]],"date-time":"2023-07-18T00:00:00Z","timestamp":1689638400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Science Foundation Ireland","award":["SFI\/12\/RC\/2289_P2"],"award-info":[{"award-number":["SFI\/12\/RC\/2289_P2"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,7,19]]},"DOI":"10.1145\/3539618.3592082","type":"proceedings-article","created":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T00:22:23Z","timestamp":1689726143000},"page":"2486-2490","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":20,"title":["Unsupervised Query Performance Prediction for Neural Models with Pairwise Rank Preferences"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-3438-0492","authenticated-orcid":false,"given":"Ashutosh","family":"Singh","sequence":"first","affiliation":[{"name":"University of Glasgow, Glasgow, United Kingdom"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0050-7138","authenticated-orcid":false,"given":"Debasis","family":"Ganguly","sequence":"additional","affiliation":[{"name":"University of Glasgow, Glasgow, United Kingdom"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9220-6652","authenticated-orcid":false,"given":"Suchana","family":"Datta","sequence":"additional","affiliation":[{"name":"University College Dublin, Dublin, Ireland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3143-279X","authenticated-orcid":false,"given":"Craig","family":"McDonald","sequence":"additional","affiliation":[{"name":"University of Glasgow, Glasgow, United Kingdom"}]}],"member":"320","published-online":{"date-parts":[[2023,7,18]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482063"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380258"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159659"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498491"},{"key":"e_1_3_2_1_5_1","article-title":"A Relative Information Gain-Based Query Performance Prediction Framework with Generated Query Variants","volume":"41","author":"Datta Suchana","year":"2022","unstructured":"Suchana Datta, Debasis Ganguly, Mandar Mitra, and Derek Greene. 2022b. A Relative Information Gain-Based Query Performance Prediction Framework with Generated Query Variants. ACM Trans. Inf. Syst., Vol. 41, 2, Article 38 (Dec 2022), 31 pages.","journal-title":"ACM Trans. Inf. Syst."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531821"},{"key":"e_1_3_2_1_7_1","volume-title":"Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (Shinjuku","author":"Dehghani Mostafa","unstructured":"Mostafa Dehghani, Hamed Zamani, Aliaksei Severyn, Jaap Kamps, and W. Bruce Croft. 2017. Neural Ranking Models with Weak Supervision. In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (Shinjuku, Tokyo, Japan) (SIGIR '17). Association for Computing Machinery, New York, NY, USA, 65--74."},{"key":"e_1_3_2_1_8_1","volume-title":"Proceedings of the 25th ACM International on Conference on Information and Knowledge Management (CIKM '16)","author":"Guo Jiafeng","unstructured":"Jiafeng Guo, Yixing Fan, Qingyao Ai, and W. Bruce Croft. 2016. A Deep Relevance Matching Model for Ad-Hoc Retrieval. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management (CIKM '16). ACM, New York, NY, USA, 55--64."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1842890.1842906"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401070"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401075"},{"key":"e_1_3_2_1_12_1","volume-title":"Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval","author":"Lavrenko Victor","unstructured":"Victor Lavrenko and W. Bruce Croft. 2001. Relevance Based Language Models. In Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (New Orleans, Louisiana, USA) (SIGIR '01). Association for Computing Machinery, 120--127."},{"key":"e_1_3_2_1_13_1","volume-title":"MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. CoRR","author":"Nguyen Tri","year":"2016","unstructured":"Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, and Li Deng. 2016. MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. CoRR, Vol. abs\/1611.09268 (2016)."},{"key":"e_1_3_2_1_14_1","volume-title":"Document Expansion by Query Prediction. CoRR","author":"Nogueira Rodrigo Frassetto","year":"2019","unstructured":"Rodrigo Frassetto Nogueira, Wei Yang, Jimmy Lin, and Kyunghyun Cho. 2019. Document Expansion by Query Prediction. CoRR, Vol. abs\/1904.08375 (2019)."},{"key":"e_1_3_2_1_15_1","volume-title":"The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models. CoRR","author":"Pradeep Ronak","year":"2021","unstructured":"Ronak Pradeep, Rodrigo Nogueira, and Jimmy Lin. 2021. The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models. CoRR, Vol. abs\/2101.05667 (2021)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2018.10.009"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/1835449.1835494"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2180868.2180873"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3572405"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/1852102.1852106"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080809"},{"key":"e_1_3_2_1_22_1","volume-title":"Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. CoRR","author":"Xiong Lee","year":"2020","unstructured":"Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul N. Bennett, Junaid Ahmed, and Arnold Overwijk. 2020. Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. CoRR, Vol. abs\/2007.00808 (2020)."},{"key":"e_1_3_2_1_23_1","volume-title":"The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval","author":"Zamani Hamed","unstructured":"Hamed Zamani, W. Bruce Croft, and J. Shane Culpepper. 2018. Neural Query Performance Prediction Using Weak Supervision from Multiple Signals. In The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (Ann Arbor, MI, USA) (SIGIR '18). ACM, New York, NY, USA, 105--114."},{"key":"e_1_3_2_1_24_1","volume-title":"Proc. of SIGIR '19","author":"Zendel Oleg","unstructured":"Oleg Zendel, Anna Shtok, Fiana Raiber, Oren Kurland, and J. Shane Culpepper. 2019. Information Needs, Queries, and Query Performance Prediction. In Proc. of SIGIR '19 (Paris, France) (SIGIR'19). Association for Computing Machinery, 395--404."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.424"},{"key":"e_1_3_2_1_26_1","volume-title":"Proc. 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '07)","author":"Zhou Yun","unstructured":"Yun Zhou and W. Bruce Croft. 2007. Query Performance Prediction in Web Search Environments. In Proc. 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '07). Association for Computing Machinery, 543--550."}],"event":{"name":"SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Taipei Taiwan","acronym":"SIGIR '23","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3592082","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3539618.3592082","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:38:03Z","timestamp":1750178283000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3592082"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,18]]},"references-count":26,"alternative-id":["10.1145\/3539618.3592082","10.1145\/3539618"],"URL":"https:\/\/doi.org\/10.1145\/3539618.3592082","relation":{},"subject":[],"published":{"date-parts":[[2023,7,18]]},"assertion":[{"value":"2023-07-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}