{"id":"https://openalex.org/W4306317061","doi":"https://doi.org/10.1145/3511808.3557464","title":"Target Interest Distillation for Multi-Interest Recommendation","display_name":"Target Interest Distillation for Multi-Interest Recommendation","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4306317061","doi":"https://doi.org/10.1145/3511808.3557464"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557464","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3511808.3557464","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557464","source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557464","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100424699","display_name":"Chenyang Wang","orcid":"https://orcid.org/0000-0002-3490-3385"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Wang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078413396","display_name":"Zhefan Wang","orcid":"https://orcid.org/0000-0001-7176-8234"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhefan Wang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019407946","display_name":"Yankai Liu","orcid":"https://orcid.org/0000-0002-6559-2348"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yankai Liu","raw_affiliation_strings":["China Mobile Research Institute & THU-CMCC Joint Institute, Beijing, China","Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute & THU-CMCC Joint Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]},{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104093634","display_name":"Yang Ge","orcid":null},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Ge","raw_affiliation_strings":["China Mobile Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101524043","display_name":"Weizhi Ma","orcid":"https://orcid.org/0000-0001-5604-7527"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weizhi Ma","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402996","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0003-3158-1920"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhang","raw_affiliation_strings":["Tsinghua University & THU-CMCC Joint Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University & THU-CMCC Joint Institute, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100668121","display_name":"Yiqun Liu","orcid":"https://orcid.org/0000-0002-0140-4512"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqun Liu","raw_affiliation_strings":["China Mobile Research Institute & THU-CMCC Joint Institute, Beijing, China","Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute & THU-CMCC Joint Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]},{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079750750","display_name":"Junlan Feng","orcid":"https://orcid.org/0000-0001-5292-2945"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junlan Feng","raw_affiliation_strings":["China Mobile Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100773559","display_name":"Chao Deng","orcid":"https://orcid.org/0000-0003-4449-5247"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Deng","raw_affiliation_strings":["China Mobile Research Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100760812","display_name":"Shaoping Ma","orcid":"https://orcid.org/0000-0002-8762-8268"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoping Ma","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.5137,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.95783305,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2007","last_page":"2016"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.995199978351593,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7882223725318909},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.689918041229248},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.6147244572639465},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.566742479801178},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5239467620849609},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5168845653533936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48288607597351074},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4778130352497101},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4713149666786194},{"id":"https://openalex.org/keywords/interest-rate","display_name":"Interest rate","score":0.47012197971343994},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4424205422401428},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4354356527328491},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10947170853614807}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7882223725318909},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.689918041229248},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.6147244572639465},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.566742479801178},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5239467620849609},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5168845653533936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48288607597351074},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4778130352497101},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4713149666786194},{"id":"https://openalex.org/C175025494","wikidata":"https://www.wikidata.org/wiki/Q179179","display_name":"Interest rate","level":2,"score":0.47012197971343994},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4424205422401428},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4354356527328491},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10947170853614807},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C556758197","wikidata":"https://www.wikidata.org/wiki/Q580018","display_name":"Monetary economics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3511808.3557464","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3511808.3557464","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557464","source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3511808.3557464","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3511808.3557464","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3511808.3557464","source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4000000059604645}],"awards":[{"id":"https://openalex.org/G3379573397","display_name":null,"funder_award_id":"U21B2026","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4535293930","display_name":null,"funder_award_id":"U21B2026, 62002191","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4306317061.pdf","grobid_xml":"https://content.openalex.org/works/W4306317061.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W2054141820","https://openalex.org/W2138108551","https://openalex.org/W2171279286","https://openalex.org/W2512971201","https://openalex.org/W2592335154","https://openalex.org/W2604847698","https://openalex.org/W2605350416","https://openalex.org/W2723293840","https://openalex.org/W2783272285","https://openalex.org/W2902040508","https://openalex.org/W2903749028","https://openalex.org/W2963367478","https://openalex.org/W2982902390","https://openalex.org/W2987861506","https://openalex.org/W2996931760","https://openalex.org/W3012772192","https://openalex.org/W3034368386","https://openalex.org/W3080249509","https://openalex.org/W3080642298","https://openalex.org/W3080781457","https://openalex.org/W3081170586","https://openalex.org/W3114085555","https://openalex.org/W3138154797","https://openalex.org/W3155978629","https://openalex.org/W4297971002"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W933914347","https://openalex.org/W2318955193","https://openalex.org/W4224009465","https://openalex.org/W4298819607","https://openalex.org/W3123683790","https://openalex.org/W2036727303","https://openalex.org/W1604919637","https://openalex.org/W2903234512"],"abstract_inverted_index":{"Sequential":[0],"recommendation":[1,108],"aims":[2],"at":[3,214],"predicting":[4,110],"the":[5,9,16,30,62,69,79,83,96,111,133,146,152,156,175,186,189,196,200,205,211,215,230,235],"next":[6],"item":[7,76,191],"that":[8,41,184],"user":[10,51,98,113,143,212],"may":[11],"be":[12,161],"interested":[13],"in":[14,87,155],"given":[15],"historical":[17],"interaction":[18],"sequence.":[19],"Typical":[20],"neural":[21],"models":[22],"derive":[23],"a":[24,116,121,180],"single":[25],"history":[26],"embedding":[27],"to":[28,47,77,93,105,137,150,164,174,208],"represent":[29],"user's":[31],"interests.":[32,52],"Moving":[33],"one":[34],"step":[35],"forward,":[36],"recent":[37],"studies":[38],"point":[39],"out":[40],"multiple":[42,139],"sequence":[43],"embeddings":[44,140,194],"can":[45],"help":[46],"better":[48],"capture":[49],"multi-faceted":[50],"However,":[53],"when":[54],"ranking":[55,80],"candidate":[56,75],"items,":[57],"these":[58],"methods":[59],"usually":[60],"adopt":[61],"greedy":[63],"inference":[64,216],"strategy.":[65],"This":[66,203],"approach":[67],"uses":[68,185],"best":[70],"matching":[71],"interest":[72,85,114,118,153,213],"for":[73],"each":[74],"calculate":[78],"score,":[81],"neglecting":[82],"target":[84,112,190,201],"distribution":[86,154],"different":[88,142],"contexts,":[89],"which":[90,159],"might":[91],"lead":[92],"incompatibility":[94],"with":[95,115],"current":[97,157],"intent.":[99],"In":[100],"this":[101],"paper,":[102],"we":[103,178],"propose":[104],"enhance":[106],"multi-interest":[107,135,167,193],"by":[109],"separate":[117],"predictor":[119,149,207],"and":[120,145,192,218,232],"specifically":[122],"designed":[123],"distillation":[124,182],"loss.":[125],"The":[126],"proposed":[127,236],"framework":[128],"consists":[129],"of":[130,199,234],"two":[131],"modules:":[132],"1)":[134],"extractor":[136],"generate":[138],"regarding":[141],"interests;":[144],"2)":[147],"target-interest":[148,176,181,206],"predict":[151,210],"context,":[158],"will":[160],"further":[162],"utilized":[163],"dynamically":[165],"aggregate":[166],"embeddings.":[168],"To":[169],"provide":[170],"explicit":[171],"supervision":[172],"signals":[173],"predictor,":[177],"devise":[179],"loss":[183],"similarity":[187],"between":[188],"as":[195],"soft":[197],"label":[198],"interest.":[202],"helps":[204],"accurately":[209],"stage":[217],"enhances":[219],"its":[220],"generalization":[221],"ability.":[222],"Extensive":[223],"experiments":[224],"on":[225],"three":[226],"real-world":[227],"datasets":[228],"show":[229],"effectiveness":[231],"flexibility":[233],"framework.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":7}],"updated_date":"2026-07-11T18:08:03.149640","created_date":"2025-10-10T00:00:00"}