{"id":"https://openalex.org/W3028201915","doi":"https://doi.org/10.1145/3397271.3401043","title":"ESAM","display_name":"ESAM","publication_year":2020,"publication_date":"2020-07-25","ids":{"openalex":"https://openalex.org/W3028201915","doi":"https://doi.org/10.1145/3397271.3401043","mag":"3028201915"},"language":"en","primary_location":{"id":"doi:10.1145/3397271.3401043","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401043","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2005.10545","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhihong Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihong Chen","raw_affiliation_strings":["Zhejiang University &amp; Alibaba Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University &amp; Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872","https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Rong Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Xiao","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chenliang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenliang Li","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Gangfeng Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gangfeng Ye","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Haochuan Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haochuan Sun","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hongbo Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Deng","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":95,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"579","last_page":"588"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.995199978351593,"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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.995199978351593,"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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9945999979972839,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9909999966621399,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6114000082015991},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5162000060081482},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.43529999256134033},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4018999934196472},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.39329999685287476},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.3919999897480011},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.3880000114440918},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.3840999901294708}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6114000082015991},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5162000060081482},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46059998869895935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4415999948978424},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.43529999256134033},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4325000047683716},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4018999934196472},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39719998836517334},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.39329999685287476},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.3919999897480011},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.3880000114440918},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3840999901294708},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.37709999084472656},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.35580000281333923},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.35519999265670776},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.34869998693466187},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.30820000171661377},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.3061999976634979},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.29919999837875366},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26089999079704285},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2551000118255615}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3397271.3401043","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401043","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2005.10545","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.10545","pdf_url":"https://arxiv.org/pdf/2005.10545","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2005.10545","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2005.10545","pdf_url":"https://arxiv.org/pdf/2005.10545","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1966443646","https://openalex.org/W1999973986","https://openalex.org/W2047221353","https://openalex.org/W2054141820","https://openalex.org/W2067802667","https://openalex.org/W2108862644","https://openalex.org/W2115584760","https://openalex.org/W2136189984","https://openalex.org/W2138621090","https://openalex.org/W2143331230","https://openalex.org/W2162651021","https://openalex.org/W2165698076","https://openalex.org/W2296073425","https://openalex.org/W2512971201","https://openalex.org/W2593768305","https://openalex.org/W2619206542","https://openalex.org/W2629213068","https://openalex.org/W2740605635","https://openalex.org/W2745133928","https://openalex.org/W2896537337","https://openalex.org/W2913488954","https://openalex.org/W2915000900","https://openalex.org/W2962745591","https://openalex.org/W2963085847","https://openalex.org/W2964117661","https://openalex.org/W2964159782","https://openalex.org/W2964288524","https://openalex.org/W2984589663","https://openalex.org/W2998115938","https://openalex.org/W4231990774"],"related_works":[],"abstract_inverted_index":{"Most":[0],"of":[1,27,93,123],"ranking":[2],"models":[3],"are":[4,11,16,34],"trained":[5],"only":[6],"with":[7],"displayed":[8,29,66,99,158],"items":[9,20,32,45,69,102,159,162],"(most":[10,33],"hot":[12],"items),":[13],"but":[14],"they":[15],"utilized":[17],"to":[18,38,49,86,126,141,160,196,202],"retrieve":[19],"in":[21,188],"the":[22,39,43,91,112,118,124,155,165,189,197],"entire":[23,81],"space":[24,82],"which":[25],"consists":[26],"both":[28],"and":[30,57,67,100,105,150,173],"non-displayed":[31,68,101,161],"long-tail":[35,44,73,190],"items).":[36],"Due":[37],"sample":[40],"selection":[41],"bias,":[42],"lack":[46],"sufficient":[47],"records":[48],"learn":[50],"good":[51],"feature":[52],"representations,":[53],"ie":[54,137],"data":[55],"sparsity":[56],"cold":[58],"start":[59],"problems.":[60],"The":[61,208],"resultant":[62],"distribution":[63,128,166],"discrepancy":[64],"between":[65,120],"would":[70],"cause":[71],"poor":[72],"performance.":[74,207],"To":[75],"this":[76,88],"end,":[77],"we":[78,110,131,193],"propose":[79],"an":[80],"adaptation":[83,95],"model":[84],"(ESAM)":[85],"address":[87],"problem":[89],"from":[90,157,179],"perspective":[92],"domain":[94],"(DA).":[96],"ESAM":[97,153,183,195],"regards":[98],"as":[103],"source":[104],"target":[106],"domains":[107],"respectively.":[108],"Specifically,":[109],"design":[111],"attribute":[113],"correlation":[114,119],"alignment":[115],"that":[116,182],"considers":[117],"high-level":[121],"attributes":[122],"item":[125],"achieve":[127],"alignment.":[129],"Furthermore,":[130],"introduce":[132],"two":[133,170],"effective":[134],"regularization":[135],"strategies,":[136],"center-wise":[138],"clustering":[139],"andself-training":[140],"improve":[142],"DA":[143],"process.":[144],"Without":[145],"requiring":[146],"any":[147],"auxiliary":[148,151],"information":[149],"domains,":[152],"transfers":[154],"knowledge":[156],"for":[163],"alleviating":[164],"inconsistency.":[167],"Experiments":[168],"on":[169,205],"public":[171],"datasets":[172],"a":[174],"large-scale":[175],"industrial":[176],"dataset":[177],"collected":[178],"Taobao":[180,198],"demonstrate":[181],"achieves":[184],"state-of-the-art":[185],"performance,":[186],"especially":[187],"space.":[191],"Besides,":[192],"deploy":[194],"search":[199],"engine,":[200],"leading":[201],"significant":[203],"improvement":[204],"online":[206],"code":[209],"is":[210],"available":[211],"at":[212],"https://github.com/A-bone1/ESAM.git.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2020-05-29T00:00:00"}
