{"id":"https://openalex.org/W4283820467","doi":"https://doi.org/10.1609/aaai.v36i4.20321","title":"FPAdaMetric: False-Positive-Aware Adaptive Metric Learning for Session-Based Recommendation","display_name":"FPAdaMetric: False-Positive-Aware Adaptive Metric Learning for Session-Based Recommendation","publication_year":2022,"publication_date":"2022-06-28","ids":{"openalex":"https://openalex.org/W4283820467","doi":"https://doi.org/10.1609/aaai.v36i4.20321"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v36i4.20321","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v36i4.20321","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/20321/20080","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/20321/20080","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043687522","display_name":"Jongwon Jeong","orcid":"https://orcid.org/0000-0003-0391-1929"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jongwon Jeong","raw_affiliation_strings":["NCSOFT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NCSOFT","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019112271","display_name":"Jeong Woo Choi","orcid":"https://orcid.org/0000-0001-5824-8859"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeong Choi","raw_affiliation_strings":["NAVER"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NAVER","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044711814","display_name":"Hyunsouk Cho","orcid":"https://orcid.org/0000-0002-9134-1921"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyunsouk Cho","raw_affiliation_strings":["Ajou University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ajou University","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047186923","display_name":"Sehee Chung","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sehee Chung","raw_affiliation_strings":["NCSOFT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NCSOFT","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1644,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.80769231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"36","issue":"4","first_page":"4039","last_page":"4047"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9948999881744385,"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"}},{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9469000101089478,"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/false-positive-paradox","display_name":"False positive paradox","score":0.8727620840072632},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7681587934494019},{"id":"https://openalex.org/keywords/true-positive-rate","display_name":"True positive rate","score":0.7586944699287415},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.7274982929229736},{"id":"https://openalex.org/keywords/false-positives-and-false-negatives","display_name":"False positives and false negatives","score":0.6893088817596436},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.655078113079071},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6106187701225281},{"id":"https://openalex.org/keywords/false-positive-rate","display_name":"False positive rate","score":0.521711528301239},{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.5113977789878845},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47231361269950867},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.41840100288391113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39170199632644653},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.29096847772598267},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09405308961868286}],"concepts":[{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.8727620840072632},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7681587934494019},{"id":"https://openalex.org/C2989486834","wikidata":"https://www.wikidata.org/wiki/Q3808900","display_name":"True positive rate","level":2,"score":0.7586944699287415},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.7274982929229736},{"id":"https://openalex.org/C112789634","wikidata":"https://www.wikidata.org/wiki/Q18207010","display_name":"False positives and false negatives","level":3,"score":0.6893088817596436},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.655078113079071},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6106187701225281},{"id":"https://openalex.org/C95922358","wikidata":"https://www.wikidata.org/wiki/Q5432725","display_name":"False positive rate","level":2,"score":0.521711528301239},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.5113977789878845},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47231361269950867},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.41840100288391113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39170199632644653},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29096847772598267},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09405308961868286},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v36i4.20321","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v36i4.20321","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/20321/20080","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/20321","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/20321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"Peer-reviewed Article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v36i4.20321","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v36i4.20321","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/20321/20080","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4283820467.pdf","grobid_xml":"https://content.openalex.org/works/W4283820467.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W1875842236","https://openalex.org/W1924770834","https://openalex.org/W2054141820","https://openalex.org/W2101409192","https://openalex.org/W2140310134","https://openalex.org/W2482517831","https://openalex.org/W2555897561","https://openalex.org/W2604433096","https://openalex.org/W2604662567","https://openalex.org/W2605350416","https://openalex.org/W2626454364","https://openalex.org/W2739273093","https://openalex.org/W2788295351","https://openalex.org/W2799544270","https://openalex.org/W2809291355","https://openalex.org/W2908404712","https://openalex.org/W2937556626","https://openalex.org/W2963367478","https://openalex.org/W2963775347","https://openalex.org/W2964044287","https://openalex.org/W2969656782","https://openalex.org/W2972657244","https://openalex.org/W2990221466","https://openalex.org/W3005680577","https://openalex.org/W3013020904","https://openalex.org/W3028108055","https://openalex.org/W3033630125","https://openalex.org/W3035069378","https://openalex.org/W3035313290","https://openalex.org/W3035725536","https://openalex.org/W3036173644","https://openalex.org/W3088777230","https://openalex.org/W3100278010","https://openalex.org/W3100591234","https://openalex.org/W3101707147","https://openalex.org/W3102153333","https://openalex.org/W3106035229","https://openalex.org/W3106433415","https://openalex.org/W3114632476","https://openalex.org/W3122507327","https://openalex.org/W3127452014","https://openalex.org/W3129186620","https://openalex.org/W3132580718","https://openalex.org/W3147248443","https://openalex.org/W3171810603","https://openalex.org/W3177587471","https://openalex.org/W3185693672","https://openalex.org/W4297806726","https://openalex.org/W4299286960","https://openalex.org/W4385245566","https://openalex.org/W6638791942","https://openalex.org/W6665018949","https://openalex.org/W6679201749","https://openalex.org/W6735804486","https://openalex.org/W6736033323","https://openalex.org/W6745761510","https://openalex.org/W6754159242","https://openalex.org/W6758109254","https://openalex.org/W6779715007","https://openalex.org/W6780027451","https://openalex.org/W6785231306","https://openalex.org/W6785511501","https://openalex.org/W6785869379","https://openalex.org/W6948161257"],"related_works":["https://openalex.org/W2027184711","https://openalex.org/W3119537175","https://openalex.org/W4292605373","https://openalex.org/W2951146195","https://openalex.org/W3123215897","https://openalex.org/W2810356275","https://openalex.org/W2153600354","https://openalex.org/W2102122784","https://openalex.org/W2208028087","https://openalex.org/W4287391380"],"abstract_inverted_index":{"Modern":[0],"recommendation":[1,31,71,99,139],"systems":[2,72],"are":[3],"mostly":[4],"based":[5,33],"on":[6,34,151],"implicit":[7],"feedback":[8],"data":[9],"which":[10,92],"can":[11],"be":[12],"quite":[13],"noisy":[14],"due":[15],"to":[16,44],"false":[17,46,52,62,83],"positives":[18,53,63,84],"(FPs)":[19],"caused":[20],"by":[21],"many":[22],"reasons,":[23],"such":[24],"as":[25,58,78],"misclicks":[26],"or":[27],"quick":[28],"curiosity.":[29],"Numerous":[30],"algorithms":[32],"collaborative":[35],"filtering":[36],"have":[37],"leveraged":[38],"post-click":[39],"user":[40],"behavior":[41],"(e.g.,":[42],"skip)":[43],"identify":[45],"positives.":[47],"They":[48],"effectively":[49],"involved":[50],"these":[51],"in":[54,68,85,142,174,178],"the":[55,94,97,114,125,165],"model":[56,91,176],"supervision":[57],"negative-like":[59],"signals.":[60],"Yet,":[61],"had":[64],"not":[65],"been":[66],"considered":[67],"existing":[69],"session-based":[70,98,138],"(SBRs)":[73],"although":[74],"they":[75],"provide":[76],"just":[77],"deleterious":[79],"effects.":[80],"To":[81],"resolve":[82],"SBRs,":[86],"we":[87,109,162],"first":[88],"introduce":[89],"FP-Metric":[90],"reformulates":[93],"objective":[95],"of":[96,127,144],"with":[100,118],"FP":[101],"constraints":[102],"into":[103],"metric":[104],"learning":[105],"regularization.":[106],"In":[107],"addition,":[108],"propose":[110],"FP-AdaMetric":[111,135,175],"that":[112,122,134,164],"enhances":[113],"metric-learning":[115],"regularization":[116],"terms":[117,143],"an":[119],"adaptive":[120,166],"module":[121,167],"elaborately":[123],"calculates":[124],"impact":[126],"FPs":[128],"inside":[129],"sequential":[130],"patterns.":[131],"We":[132],"verify":[133],"improves":[136],"several":[137],"models'":[140],"performances":[141],"Hit":[145],"Rate":[146],"(HR),":[147],"MRR,":[148],"and":[149,159],"NDCG":[150],"datasets":[152],"from":[153],"different":[154],"domains":[155],"including":[156],"music,":[157],"movie,":[158],"game.":[160],"Furthermore,":[161],"show":[163],"plays":[168],"a":[169],"much":[170],"more":[171],"crucial":[172],"role":[173],"than":[177],"other":[179],"baselines.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}