{"id":"https://openalex.org/W3153728054","doi":"https://doi.org/10.1145/3404835.3463073","title":"Contextualized Offline Relevance Weighting for Efficient and Effective Neural Retrieval","display_name":"Contextualized Offline Relevance Weighting for Efficient and Effective Neural Retrieval","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3153728054","doi":"https://doi.org/10.1145/3404835.3463073","mag":"3153728054"},"language":"en","primary_location":{"id":"doi:10.1145/3404835.3463073","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404835.3463073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071707350","display_name":"Xuanang Chen","orcid":"https://orcid.org/0000-0003-0377-8451"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanang Chen","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109888639","display_name":"Ben He","orcid":"https://orcid.org/0000-0002-2699-9209"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ben He","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017775632","display_name":"Kai Hui","orcid":"https://orcid.org/0000-0002-3110-7404"},"institutions":[{"id":"https://openalex.org/I4210089985","display_name":"Amazon (Germany)","ror":"https://ror.org/00b9ktm87","country_code":"DE","type":"company","lineage":["https://openalex.org/I1311688040","https://openalex.org/I4210089985"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kai Hui","raw_affiliation_strings":["Amazon Alexa, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amazon Alexa, Berlin, Germany","institution_ids":["https://openalex.org/I4210089985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101650034","display_name":"Yiran Wang","orcid":"https://orcid.org/0000-0002-8672-4741"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiran Wang","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034536222","display_name":"Le Sun","orcid":"https://orcid.org/0000-0002-4221-0327"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Sun","raw_affiliation_strings":["Institute of Software, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Software, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103211417","display_name":"Yingfei Sun","orcid":"https://orcid.org/0000-0003-0615-2569"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingfei Sun","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1617","last_page":"1621"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8350605964660645},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7514562010765076},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6426331400871277},{"id":"https://openalex.org/keywords/document-retrieval","display_name":"Document retrieval","score":0.6285621523857117},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6191229820251465},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5810240507125854},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5785949230194092},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.5339796543121338},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5009164810180664},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4529397487640381},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4363687038421631},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.41481876373291016},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3728483319282532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34745579957962036}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8350605964660645},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7514562010765076},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6426331400871277},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.6285621523857117},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6191229820251465},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5810240507125854},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5785949230194092},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.5339796543121338},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5009164810180664},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4529397487640381},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4363687038421631},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.41481876373291016},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3728483319282532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34745579957962036},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3404835.3463073","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404835.3463073","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3514936698","display_name":null,"funder_award_id":"No.2017YFB1002104","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1482214997","https://openalex.org/W2169213601","https://openalex.org/W2740321901","https://openalex.org/W2945127593","https://openalex.org/W2981852735","https://openalex.org/W3021397474","https://openalex.org/W3039677769","https://openalex.org/W3045033475","https://openalex.org/W3099446234","https://openalex.org/W3104738015","https://openalex.org/W3105107530","https://openalex.org/W3134665270","https://openalex.org/W3146365155","https://openalex.org/W4246858749","https://openalex.org/W4288089799","https://openalex.org/W6605614091","https://openalex.org/W6636625392"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W8610723","https://openalex.org/W2396226914","https://openalex.org/W4389519110","https://openalex.org/W4312049095","https://openalex.org/W2189581250","https://openalex.org/W4288335753","https://openalex.org/W2948229652","https://openalex.org/W3009633639"],"abstract_inverted_index":{"Online":[0],"search":[1],"latency":[2],"is":[3,66,82],"a":[4,78],"major":[5],"bottleneck":[6],"in":[7,15,23,112],"deploying":[8],"large-scale":[9],"pre-trained":[10],"language":[11],"models,":[12],"e.g.":[13],"BERT,":[14],"retrieval":[16,37,60],"applications.":[17],"Inspired":[18],"by":[19,39,51],"the":[20,41,47,58,62,69,87,94],"recent":[21],"advances":[22],"transformer-based":[24],"document":[25,79,103],"expansion":[26],"technique,":[27],"we":[28],"propose":[29],"to":[30,45,68,74,86],"trade":[31],"offline":[32],"relevance":[33],"weighting":[34],"for":[35,54],"online":[36,59,116],"efficiency":[38,117],"utilizing":[40],"powerful":[42],"BERT":[43],"ranker":[44],"weight":[46],"neighbour":[48,89],"documents":[49],"collected":[50],"generated":[52],"pseudo-queries":[53],"each":[55],"document.":[56],"In":[57],"stage,":[61],"traditional":[63],"query-document":[64],"matching":[65],"reduced":[67],"much":[70],"less":[71],"expensive":[72],"query":[73],"pseudo-query":[75],"matching,":[76],"and":[77,102,118],"rank":[80],"list":[81],"quickly":[83],"recalled":[84],"according":[85],"pre-computed":[88],"documents.":[90],"Extensive":[91],"experiments":[92],"on":[93],"standard":[95],"MS":[96],"MARCO":[97],"dataset":[98],"with":[99],"both":[100,115],"passage":[101],"ranking":[104],"tasks":[105],"demonstrate":[106],"promising":[107],"results":[108],"of":[109,114],"our":[110],"method":[111],"terms":[113],"effectiveness.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}