{"id":"https://openalex.org/W3152880264","doi":"https://doi.org/10.1145/3404835.3462886","title":"Set2setRank","display_name":"Set2setRank","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3152880264","doi":"https://doi.org/10.1145/3404835.3462886","mag":"3152880264"},"language":"en","primary_location":{"id":"doi:10.1145/3404835.3462886","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404835.3462886","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/A5100333481","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0002-5537-8989"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["Hefei University of Technology, HeFei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, HeFei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033706423","display_name":"Le Wu","orcid":"https://orcid.org/0000-0003-4556-0581"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Wu","raw_affiliation_strings":["Hefei University of Technology &amp; Hefei Comprehensive National Science Center, HeFei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei University of Technology &amp; Hefei Comprehensive National Science Center, HeFei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342310","display_name":"Kun Zhang","orcid":"https://orcid.org/0000-0002-0743-9003"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Zhang","raw_affiliation_strings":["Hefei University of Technology, HeFei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, HeFei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051332325","display_name":"Richang Hong","orcid":"https://orcid.org/0000-0001-5461-3986"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Richang Hong","raw_affiliation_strings":["Hefei University of Technology, HeFei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, HeFei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100377147","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-3094-7735"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["Hefei University of Technology &amp; Hefei Comprehensive National Science Center, HeFei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei University of Technology &amp; Hefei Comprehensive National Science Center, HeFei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":3.8351,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.94539776,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"585","last_page":"594"},"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9704999923706055,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9703999757766724,"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":0.785402774810791},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.7362018823623657},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.7177684307098389},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6762890815734863},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5874242782592773},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5552607178688049},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5466757416725159},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4534570574760437},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.44719764590263367},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43182235956192017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4210575222969055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3993249833583832},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13973122835159302},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11742052435874939}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.785402774810791},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7362018823623657},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.7177684307098389},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6762890815734863},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5874242782592773},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5552607178688049},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5466757416725159},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4534570574760437},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.44719764590263367},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43182235956192017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4210575222969055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3993249833583832},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13973122835159302},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11742052435874939},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3404835.3462886","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404835.3462886","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W153313452","https://openalex.org/W1963547115","https://openalex.org/W1976999215","https://openalex.org/W1999956270","https://openalex.org/W2006822005","https://openalex.org/W2046974451","https://openalex.org/W2054141820","https://openalex.org/W2071111773","https://openalex.org/W2080951269","https://openalex.org/W2088621849","https://openalex.org/W2091158010","https://openalex.org/W2102035799","https://openalex.org/W2108862644","https://openalex.org/W2124187902","https://openalex.org/W2135598826","https://openalex.org/W2187424591","https://openalex.org/W2237874459","https://openalex.org/W2296244148","https://openalex.org/W2522998206","https://openalex.org/W2604433096","https://openalex.org/W2624617553","https://openalex.org/W2740920897","https://openalex.org/W2792608323","https://openalex.org/W2798881875","https://openalex.org/W2798908418","https://openalex.org/W2802280634","https://openalex.org/W2808787330","https://openalex.org/W2896141483","https://openalex.org/W2896457183","https://openalex.org/W2900510321","https://openalex.org/W2904940554","https://openalex.org/W2945827670","https://openalex.org/W2948795993","https://openalex.org/W2954871291","https://openalex.org/W2955106599","https://openalex.org/W2955931418","https://openalex.org/W2972971644","https://openalex.org/W2998431760","https://openalex.org/W2998677531","https://openalex.org/W3012952868","https://openalex.org/W3028201915","https://openalex.org/W3034707247","https://openalex.org/W3034894152","https://openalex.org/W3035566692","https://openalex.org/W3035590471","https://openalex.org/W3042788159","https://openalex.org/W3045200674","https://openalex.org/W3054737934","https://openalex.org/W3100278010","https://openalex.org/W3102099102","https://openalex.org/W3103259151","https://openalex.org/W3210120707","https://openalex.org/W6692491197"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622","https://openalex.org/W2556532874"],"abstract_inverted_index":{"As":[0],"users":[1],"often":[2],"express":[3],"their":[4],"preferences":[5],"with":[6,54,67],"binary":[7],"behavior":[8],"data~(implicit":[9],"feedback),":[10],"such":[11],"as":[12],"clicking":[13],"items":[14,28],"or":[15,87],"buying":[16],"products,":[17],"implicit":[18,35,43,103,140],"feedback":[19,44,104,141],"based":[20,84,105],"Collaborative":[21],"Filtering~(CF)":[22],"models":[23],"predict":[24],"the":[25,42,98,107,117,120,135,139,172,184,199,203,208,214,264],"top":[26],"ranked":[27,177],"a":[29,59,196],"user":[30,76],"might":[31],"like":[32],"by":[33],"leveraging":[34],"user-item":[36],"interaction":[37],"data.":[38],"For":[39],"each":[40,125,168],"user,":[41],"is":[45,65,176,223,238,251],"divided":[46],"into":[47],"two":[48,154,228],"sets:":[49],"an":[50,159,162,219],"observed":[51,56,121,169,174,204],"item":[52,62,69,91,122,160,163,170,182,205,212],"set":[53,63,123,164,175,191,206],"limited":[55],"behaviors,":[57],"and":[58,71,142,207,240,250],"large":[60],"unobserved":[61,181,186,211],"that":[64,166,194,234],"mixed":[66],"negative":[68,90,216],"behaviors":[70],"unknown":[72],"behaviors.":[73],"Given":[74],"any":[75,180],"preference":[77],"prediction":[78,248],"model,":[79],"researchers":[80],"either":[81],"designed":[82,224],"ranking":[83],"optimization":[85,149],"goals":[86],"relied":[88],"on":[89,259],"mining":[92],"techniques":[93],"for":[94,124,146],"better":[95],"optimization.":[96],"Despite":[97],"performance":[99],"gain":[100],"of":[101,119,138,151,266],"these":[102,227],"models,":[106],"recommendation":[108,247],"results":[109],"are":[110,153],"still":[111],"far":[112],"from":[113,171,183,202,213],"satisfactory":[114],"due":[115],"to":[116,161,225,232,245],"sparsity":[118],"user.":[126],"To":[127],"this":[128,131],"end,":[129],"in":[130,254],"paper,":[132],"we":[133,157,189],"explore":[134],"unique":[136],"characteristics":[137],"propose":[143],"Set2setRank":[144,152],"framework":[145,237],"recommendation.":[147],"The":[148],"criteria":[150],"folds:":[155],"First,":[156],"design":[158],"comparison":[165,193],"encourages":[167,195],"sampled":[173,185,215],"higher":[178],"than":[179],"set.":[187,217],"Second,":[188],"model":[190],"level":[192],"margin":[197],"between":[198],"distance":[200],"summarized":[201],"most":[209,246],"\"hard''":[210],"Further,":[218],"adaptive":[220],"sampling":[221],"technique":[222],"implement":[226],"goals.":[229],"We":[230],"have":[231],"note":[233],"our":[235,267],"proposed":[236,268],"model-agnostic":[239],"can":[241],"be":[242],"easily":[243],"applied":[244],"approaches,":[249],"time":[252],"efficient":[253],"practice.":[255],"Finally,":[256],"extensive":[257],"experiments":[258],"three":[260],"real-world":[261],"datasets":[262],"demonstrate":[263],"superiority":[265],"approach.":[269]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2021-04-26T00:00:00"}
