{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T16:45:37Z","timestamp":1780418737454,"version":"3.54.1"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031282379","type":"print"},{"value":"9783031282386","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-28238-6_51","type":"book-chapter","created":{"date-parts":[[2023,3,16]],"date-time":"2023-03-16T17:03:18Z","timestamp":1678986198000},"page":"599-607","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Learning Query-Space Document Representations for High-Recall Retrieval"],"prefix":"10.1007","author":[{"given":"Sara","family":"Salamat","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Negar","family":"Arabzadeh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fattane","family":"Zarrinkalam","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Morteza","family":"Zihayat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ebrahim","family":"Bagheri","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,3,17]]},"reference":[{"key":"51_CR1","doi-asserted-by":"crossref","unstructured":"Arabzadeh, N., Mitra, B., Bagheri, E.: Ms marco chameleons: challenging the ms marco leaderboard with extremely obstinate queries. In: Proceedings of the 30th ACM International Conference on Information and Knowledge Management, pp. 4426\u20134435 (2021)","DOI":"10.1145\/3459637.3482011"},{"key":"51_CR2","doi-asserted-by":"publisher","unstructured":"Bagheri, E., Ensan, F., Al-Obeidat, F.: Impact of document representation on neural ad hoc retrieval. In: Proceedings of the 27th ACM International Conference on Information and Knowledge Management, pp. 1635\u20131638. CIKM 2018, Association for Computing Machinery, New York, NY, USA (2018). https:\/\/doi.org\/10.1145\/3269206.3269314","DOI":"10.1145\/3269206.3269314"},{"key":"51_CR3","doi-asserted-by":"crossref","unstructured":"Chen, Q., Zhao, H., Li, W., Huang, P., Ou, W.: Behavior sequence transformer for e-commerce recommendation in alibaba (2019)","DOI":"10.1145\/3326937.3341261"},{"key":"51_CR4","doi-asserted-by":"publisher","unstructured":"Cormack, G.V., Clarke, C.L.A., Buettcher, S.: Reciprocal rank fusion outperforms condorcet and individual rank learning methods. In: Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 758\u2013759. SIGIR 2009, Association for Computing Machinery, New York, NY, USA (2009). https:\/\/doi.org\/10.1145\/1571941.1572114","DOI":"10.1145\/1571941.1572114"},{"key":"51_CR5","unstructured":"Dai, Z., Callan, J.: Context-aware sentence\/passage term importance estimation for first stage retrieval. arXiv preprint arXiv:1910.10687 (2019)"},{"key":"51_CR6","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)"},{"key":"51_CR7","doi-asserted-by":"publisher","unstructured":"Gallagher, L., Chen, R.C., Blanco, R., Culpepper, J.S.: Joint optimization of cascade ranking models. In: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, pp. 15\u201323. WSDM 2019, Association for Computing Machinery, New York, NY, USA (2019). https:\/\/doi.org\/10.1145\/3289600.3290986","DOI":"10.1145\/3289600.3290986"},{"key":"51_CR8","doi-asserted-by":"crossref","unstructured":"Gao, L., Dai, Z., Chen, T., Fan, Z., Van Durme, B., Callan, J.: Complementing lexical retrieval with semantic residual embedding. arXiv preprint arXiv:2004.13969 (2020)","DOI":"10.1007\/978-3-030-72113-8_10"},{"key":"51_CR9","doi-asserted-by":"crossref","unstructured":"Henderson, M.L., et al.: Efficient natural language response suggestion for smart reply. CoRR abs\/1705.00652 (2017). http:\/\/arxiv.org\/abs\/1705.00652","DOI":"10.1002\/art.40115"},{"issue":"6","key":"51_CR10","doi-asserted-by":"publisher","first-page":"809","DOI":"10.1016\/S0306-4573(00)00016-9","volume":"36","author":"KS Jones","year":"2000","unstructured":"Jones, K.S., Walker, S., Robertson, S.E.: A probabilistic model of information retrieval: development and comparative experiments: part 2. Inform. Process. Manage. 36(6), 809\u2013840 (2000)","journal-title":"Inform. Process. Manage."},{"key":"51_CR11","doi-asserted-by":"crossref","unstructured":"Karpukhin, V., et al.: Dense passage retrieval for open-domain question answering. arXiv preprint arXiv:2004.04906 (2020)","DOI":"10.18653\/v1\/2020.emnlp-main.550"},{"key":"51_CR12","doi-asserted-by":"crossref","unstructured":"Lafferty, J., Zhai, C.: Document language models, query models, and risk minimization for information retrieval. In: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 111\u2013119 (2001)","DOI":"10.1145\/383952.383970"},{"key":"51_CR13","doi-asserted-by":"publisher","unstructured":"Liu, S., Xiao, F., Ou, W., Si, L.: Cascade ranking for operational e-commerce search. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2017). https:\/\/doi.org\/10.1145\/3097983.3098011","DOI":"10.1145\/3097983.3098011"},{"key":"51_CR14","doi-asserted-by":"crossref","unstructured":"MacAvaney, S., Nardini, F.M., Perego, R., Tonellotto, N., Goharian, N., Frieder, O.: Efficient document re-ranking for transformers by precomputing term representations. CoRR abs\/2004.14255 (2020). https:\/\/arxiv.org\/abs\/2004.14255","DOI":"10.1145\/3397271.3401093"},{"key":"51_CR15","unstructured":"Nguyen, T., et al.: Ms marco: a human generated machine reading comprehension dataset. In: CoCo@ NIPs (2016)"},{"key":"51_CR16","unstructured":"Nogueira, R., Yang, W., Cho, K., Lin, J.: Multi-stage document ranking with bert. arXiv preprint arXiv:1910.14424 (2019)"},{"key":"51_CR17","unstructured":"Nogueira, R., Yang, W., Lin, J., Cho, K.: Document expansion by query prediction. arXiv preprint arXiv:1904.08375 (2019)"},{"key":"51_CR18","doi-asserted-by":"crossref","unstructured":"Reimers, N., Gurevych, I.: Sentence-bert: sentence embeddings using siamese bert-networks. arXiv preprint arXiv:1908.10084 (2019)","DOI":"10.18653\/v1\/D19-1410"},{"key":"51_CR19","unstructured":"Sanh, V., Debut, L., Chaumond, J., Wolf, T.: Distilbert, a distilled version of BERT: smaller, faster, cheaper and lighter. CoRR abs\/1910.01108 (2019). http:\/\/arxiv.org\/abs\/1910.01108"},{"key":"51_CR20","doi-asserted-by":"crossref","unstructured":"Sch\u00fctze, H., Manning, C.D., Raghavan, P.: Introduction to Information Retrieval, vol. 39. Cambridge University Press, Cambridge (2008)","DOI":"10.1017\/CBO9780511809071"},{"key":"51_CR21","doi-asserted-by":"crossref","unstructured":"Shehata, D., Arabzadeh, N., Clarke, C.L.: Early stage sparse retrieval with entity linking. In: Proceedings of the 31st ACM International Conference on Information and Knowledge Management, pp. 4464\u20134469 (2022)","DOI":"10.1145\/3511808.3557588"},{"issue":"4","key":"51_CR22","first-page":"35","volume":"24","author":"A Singhal","year":"2001","unstructured":"Singhal, A., et al.: Modern information retrieval: a brief overview. IEEE Data Eng. Bull. 24(4), 35\u201343 (2001)","journal-title":"IEEE Data Eng. Bull."},{"key":"51_CR23","unstructured":"Vaswani, A., et al.: Attention is all you need. CoRR abs\/1706.03762 (2017). http:\/\/arxiv.org\/abs\/1706.03762"},{"key":"51_CR24","doi-asserted-by":"crossref","unstructured":"Wang, L., Lin, J.J., Metzler, D.: A cascade ranking model for efficient ranked retrieval. In: Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval (2011)","DOI":"10.1145\/2009916.2009934"},{"key":"51_CR25","first-page":"5776","volume":"33","author":"W Wang","year":"2020","unstructured":"Wang, W., Wei, F., Dong, L., Bao, H., Yang, N., Zhou, M.: Minilm: deep self-attention distillation for task-agnostic compression of pre-trained transformers. Adv. Neural Inform. Process. Syst. 33, 5776\u20135788 (2020)","journal-title":"Adv. Neural Inform. Process. Syst."},{"key":"51_CR26","unstructured":"Wang, Z., Zhao, L., Jiang, B., Zhou, G., Zhu, X., Gai, K.: Cold: towards the next generation of pre-ranking system (2020)"},{"issue":"1","key":"51_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1021\/ci300547g","volume":"53","author":"P Willett","year":"2013","unstructured":"Willett, P.: Combination of similarity rankings using data fusion. J. Chem. Inform. Model. 53(1), 1\u201310 (2013)","journal-title":"J. Chem. Inform. Model."},{"key":"51_CR28","unstructured":"Xiong, L., et al.: Approximate nearest neighbor negative contrastive learning for dense text retrieval. arXiv preprint arXiv:2007.00808 (2020)"},{"key":"51_CR29","unstructured":"Zhan, J., Mao, J., Liu, Y., Zhang, M., Ma, S.: Repbert: contextualized text embeddings for first-stage retrieval. arXiv preprint arXiv:2006.15498 (2020)"},{"key":"51_CR30","doi-asserted-by":"crossref","unstructured":"Zhang, H., Abualsaud, M., Ghelani, N., Smucker, M.D., Cormack, G.V., Grossman, M.R.: Effective user interaction for high-recall retrieval: Less is more. In: Proceedings of the 27th ACM International Conference on Information and Knowledge Management, pp. 187\u2013196 (2018)","DOI":"10.1145\/3269206.3271796"}],"container-title":["Lecture Notes in Computer Science","Advances in Information Retrieval"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-28238-6_51","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,5]],"date-time":"2024-03-05T13:51:57Z","timestamp":1709646717000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-28238-6_51"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031282379","9783031282386"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-28238-6_51","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"17 March 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECIR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Information Retrieval","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Dublin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ireland","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 April 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 April 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"45","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecir2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ecir2023.org\/index.html?v=1.0","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"489","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"77","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"83","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"16% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}