{"id":"https://openalex.org/W3043376663","doi":"https://doi.org/10.1561/1500000076","title":"Deep Learning for Matching in Search and Recommendation","display_name":"Deep Learning for Matching in Search and Recommendation","publication_year":2020,"publication_date":"2020-07-14","ids":{"openalex":"https://openalex.org/W3043376663","doi":"https://doi.org/10.1561/1500000076","mag":"3043376663"},"language":"en","primary_location":{"id":"doi:10.1561/1500000076","is_oa":false,"landing_page_url":"https://doi.org/10.1561/1500000076","pdf_url":null,"source":{"id":"https://openalex.org/S197106261","display_name":"Foundations and Trends\u00ae in Information Retrieval","issn_l":"1554-0669","issn":["1554-0669","1554-0677"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318575","host_organization_name":"Now Publishers","host_organization_lineage":["https://openalex.org/P4310318575"],"host_organization_lineage_names":["Now Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Foundations and Trends\u00ae in Information Retrieval","raw_type":"journal-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/A5020766468","display_name":"Jun Xu","orcid":"https://orcid.org/0000-0001-7170-111X"},"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":"Jun Xu","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China ,","Gaoling School of Artificial Intelligence, Renmin University of China, China"],"affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China ,","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038668215","display_name":"Xiangnan He","orcid":"https://orcid.org/0000-0001-8472-7992"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangnan He","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China ,","School of Information Science and Technology, University of Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China ,","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100455135","display_name":"Hang Li","orcid":"https://orcid.org/0000-0002-3464-3245"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Li","raw_affiliation_strings":["Bytedance AI Lab ,","Bytedance AI Lab, China"],"affiliations":[{"raw_affiliation_string":"Bytedance AI Lab ,","institution_ids":["https://openalex.org/I2250653659"]},{"raw_affiliation_string":"Bytedance AI Lab, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020766468"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":3.6162,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.94063591,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"14","issue":"2-3","first_page":"102","last_page":"288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9959999918937683,"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":0.9959999918937683,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.984499990940094,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9724000096321106,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5348682999610901},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5036148428916931},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5006496906280518},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.46952763199806213},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13011395931243896},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08187547326087952}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5348682999610901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5036148428916931},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5006496906280518},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.46952763199806213},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13011395931243896},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08187547326087952}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1561/1500000076","is_oa":false,"landing_page_url":"https://doi.org/10.1561/1500000076","pdf_url":null,"source":{"id":"https://openalex.org/S197106261","display_name":"Foundations and Trends\u00ae in Information Retrieval","issn_l":"1554-0669","issn":["1554-0669","1554-0677"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318575","host_organization_name":"Now Publishers","host_organization_lineage":["https://openalex.org/P4310318575"],"host_organization_lineage_names":["Now Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Foundations and Trends\u00ae in Information Retrieval","raw_type":"journal-article"},{"id":"pmh:oai:aleph.bib-bvb.de:BVB01-032653198","is_oa":false,"landing_page_url":"https://www.nowpublishers.com/article/Details/INR-076","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"software, multimedia"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2357241418","https://openalex.org/W2086064646","https://openalex.org/W2119135658","https://openalex.org/W2115485936","https://openalex.org/W2153015554","https://openalex.org/W3022131925","https://openalex.org/W2349174110","https://openalex.org/W1597238586","https://openalex.org/W1536405386","https://openalex.org/W2326857978"],"abstract_inverted_index":{"Matching":[0,267],"is":[1,11,119,268],"a":[2,17,20,26,42,83,149,168,302],"key":[3,110],"problem":[4],"in":[5,75,123,142,173,226,231,280,295],"both":[6,242],"search":[7,76,106,160,174,227,243,272],"and":[8,49,77,91,107,127,139,151,161,175,208,228,244,251,259,261,273,286],"recommendation,":[9,232],"which":[10,40],"to":[12,19,28,36,55,58,67,111,154,238,247,271],"measure":[13],"the":[14,23,38,80,102,112,115,155,180,183,193,196,220,254,292,296],"relevance":[15],"of":[16,25,82,86,114,125,129,171,205,210,223,264,306],"document":[18],"query":[21],"or":[22],"interest":[24],"user":[27],"an":[29],"item.":[30],"Machine":[31],"learning":[32,70,94,97,117,124,199,207],"has":[33],"been":[34,65],"exploited":[35],"address":[37],"problem,":[39],"learns":[41],"matching":[43,73,99,130,157,172,211,225,230,307],"function":[44,212],"based":[45],"on":[46],"input":[47],"representations":[48,126],"from":[50,132,182,241,310],"labeled":[51],"data,":[52,87],"also":[53],"referred":[54],"as":[56,217,219],"\u201clearning":[57],"match\u201d.":[59],"In":[60,177,290],"recent":[61],"years,":[62],"efforts":[63],"have":[64],"made":[66],"develop":[68],"deep":[69,93,96,116,156,198],"techniques":[71],"for":[72,98,105,159],"tasks":[74],"recommendation.":[78,108,176,274],"With":[79],"availability":[81],"large":[84],"amount":[85],"powerful":[88],"computational":[89],"resources,":[90],"advanced":[92],"techniques,":[95],"now":[100],"becomes":[101],"state-of-the-art":[103,221],"technology":[104],"The":[109,214,235],"success":[113],"approach":[118],"its":[120],"strong":[121],"ability":[122],"generalization":[128],"patterns":[131],"data":[133],"(e.g.,":[134],"queries,":[135],"documents,":[136],"users,":[137],"items,":[138],"contexts,":[140],"particularly":[141],"their":[143],"raw":[144],"forms).":[145],"This":[146],"survey":[147,194,236,297],"gives":[148,167],"systematic":[150],"comprehensive":[152],"introduction":[153],"models":[158],"recommendation":[162,245],"developed":[163],"recently.":[164],"It":[165],"first":[166],"unified":[169],"view":[170],"this":[178],"way,":[179],"solutions":[181,200,222],"two":[184,202,311],"fields":[185],"can":[186,277,298],"be":[187,278,299],"compared":[188],"under":[189],"one":[190],"framework.":[191],"Then,":[192],"categorizes":[195],"current":[197],"into":[201,253,301],"types:":[203],"methods":[204,209],"representation":[206],"learning.":[213],"fundamental":[215],"problems,":[216],"well":[218],"query-document":[224],"user-item":[229],"are":[233],"described.":[234],"aims":[237],"help":[239],"researchers":[240],"communities":[246],"get":[248],"in-depth":[249],"understanding":[250],"insight":[252],"spaces,":[255],"stimulate":[256],"more":[257,303],"ideas":[258],"discussions,":[260],"promote":[262],"developments":[263],"new":[265],"technologies.":[266],"not":[269],"limited":[270],"Similar":[275],"problems":[276],"found":[279],"paraphrasing,":[281],"question":[282],"answering,":[283],"image":[284],"annotation,":[285],"many":[287],"other":[288],"applications.":[289],"general,":[291],"technologies":[293],"introduced":[294],"generalized":[300],"general":[304],"task":[305],"between":[308],"objects":[309],"spaces.":[312]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-04T06:10:10.580331","created_date":"2025-10-10T00:00:00"}