{"id":"https://openalex.org/W4403582471","doi":"https://doi.org/10.1145/3627673.3679661","title":"Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking","display_name":"Bridge the Gap between Past and Future: Siamese Model Optimization for Context-Aware Document Ranking","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4403582471","doi":"https://doi.org/10.1145/3627673.3679661"},"language":"en","primary_location":{"id":"doi:10.1145/3627673.3679661","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679661","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","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/A5091734285","display_name":"Songhao Wu","orcid":"https://orcid.org/0009-0007-3697-7082"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Songhao Wu","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066859683","display_name":"Quan Tu","orcid":"https://orcid.org/0009-0005-8806-247X"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Tu","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072052806","display_name":"Mingjie Zhong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mingjie Zhong","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101423423","display_name":"Hong Liu","orcid":"https://orcid.org/0009-0002-2361-5721"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hong Liu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101472360","display_name":"Jia Xu","orcid":"https://orcid.org/0009-0004-1163-513X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jia Xu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053242349","display_name":"Jinjie Gu","orcid":"https://orcid.org/0000-0001-7596-4945"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinjie Gu","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100716372","display_name":"Rui Yan","orcid":"https://orcid.org/0000-0002-3356-6823"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Yan","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5091734285"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17924067,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2564","last_page":"2574"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10028","display_name":"Topic Modeling","score":0.998199999332428,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9976000189781189,"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/bridge","display_name":"Bridge (graph theory)","score":0.8099328279495239},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7220566272735596},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7204006910324097},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6881817579269409},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4357702136039734},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.43486976623535156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2702787220478058},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.0901046097278595}],"concepts":[{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.8099328279495239},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7220566272735596},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7204006910324097},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6881817579269409},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4357702136039734},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.43486976623535156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2702787220478058},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0901046097278595},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627673.3679661","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679661","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1982858363","https://openalex.org/W2095627566","https://openalex.org/W2105981469","https://openalex.org/W2139450192","https://openalex.org/W2183341477","https://openalex.org/W2539671052","https://openalex.org/W2648699835","https://openalex.org/W2912500072","https://openalex.org/W2962770891","https://openalex.org/W2979826702","https://openalex.org/W2981852735","https://openalex.org/W2986273318","https://openalex.org/W3035187263","https://openalex.org/W3080249509","https://openalex.org/W3100107515","https://openalex.org/W3105205406","https://openalex.org/W3153634982","https://openalex.org/W3166614311","https://openalex.org/W3196020299","https://openalex.org/W3208801308","https://openalex.org/W4213069590","https://openalex.org/W4213161933","https://openalex.org/W4213335484","https://openalex.org/W4223931259","https://openalex.org/W4252076394","https://openalex.org/W4285112296","https://openalex.org/W4288089799","https://openalex.org/W4292947877","https://openalex.org/W4293253193","https://openalex.org/W4321485151","https://openalex.org/W4396758690"],"related_works":["https://openalex.org/W2118564381","https://openalex.org/W2163901716","https://openalex.org/W2620666624","https://openalex.org/W7602594","https://openalex.org/W2152204162","https://openalex.org/W2739821120","https://openalex.org/W2088097596","https://openalex.org/W2150136235","https://openalex.org/W2026095310","https://openalex.org/W2140661912"],"abstract_inverted_index":{"In":[0,77],"the":[1,20,29,63,82,89,98,115,120,135,143,175,198],"realm":[2],"of":[3,22,24,47,65,84,200],"information":[4,87,155],"retrieval,":[5],"users":[6],"often":[7],"engage":[8],"in":[9],"multi-turn":[10],"interactions":[11],"with":[12,180],"search":[13,40],"engines":[14],"to":[15,19,34,52,92,149,156,187,208],"acquire":[16],"information,":[17],"leading":[18],"formation":[21],"sequences":[23],"user":[25,39,72],"feedback":[26],"behaviors.":[27,128],"Leveraging":[28],"session":[30,67,90,164],"context":[31,55,91],"has":[32],"proven":[33],"be":[35],"beneficial":[36],"for":[37,56,69],"inferring":[38],"intent":[41,73],"and":[42,107,125,138],"document":[43,58,94],"ranking.":[44,59,95],"A":[45],"multitude":[46],"approaches":[48],"have":[49],"been":[50],"proposed":[51],"exploit":[53],"in-session":[54],"improved":[57],"Despite":[60],"these":[61],"advances,":[62],"limitation":[64],"historical":[66,116,124,163],"data":[68],"capturing":[70],"evolving":[71],"remains":[74],"a":[75,104,108,181],"challenge.":[76],"this":[78],"work,":[79],"we":[80,173],"explore":[81],"integration":[83],"future":[85,127],"contextual":[86,190],"into":[88],"enhance":[93,157],"We":[96],"present":[97],"siamese":[99],"model":[100,106],"optimization":[101],"framework,":[102],"comprising":[103],"history-conditioned":[105,146],"future-aware":[109],"model.":[110],"The":[111,145],"former":[112],"processes":[113],"only":[114],"behavior":[117],"sequence,":[118],"while":[119,159],"latter":[121],"integrates":[122],"both":[123],"anticipated":[126],"Both":[129],"models":[130,186],"are":[131],"trained":[132],"collaboratively":[133],"using":[134],"supervised":[136],"labels":[137,140],"pseudo":[139],"predicted":[141],"by":[142],"other.":[144],"model,":[147],"referred":[148],"as":[150],"ForeRanker,":[151,202],"progressively":[152],"learns":[153],"future-relevant":[154],"ranking,":[158],"it":[160],"singly":[161],"uses":[162],"at":[165],"inference":[166],"time.":[167],"To":[168],"mitigate":[169],"inconsistencies":[170],"during":[171],"training,":[172],"introduce":[174],"peer":[176],"knowledge":[177],"distillation":[178],"method":[179],"dynamic":[182],"gating":[183],"mechanism,":[184],"allowing":[185],"selectively":[188],"incorporate":[189],"information.":[191],"Experimental":[192],"results":[193],"on":[194],"benchmark":[195],"datasets":[196],"demonstrate":[197],"effectiveness":[199],"our":[201],"showcasing":[203],"its":[204],"superior":[205],"performance":[206],"compared":[207],"existing":[209],"methods.":[210]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
