{"id":"https://openalex.org/W4283731685","doi":"https://doi.org/10.1145/3534678.3539238","title":"Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems","display_name":"Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems","publication_year":2022,"publication_date":"2022-08-12","ids":{"openalex":"https://openalex.org/W4283731685","doi":"https://doi.org/10.1145/3534678.3539238"},"language":"en","primary_location":{"id":"doi:10.1145/3534678.3539238","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3534678.3539238","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2206.13764","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052953438","display_name":"Yixin Su","orcid":"https://orcid.org/0000-0002-3143-3939"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yixin Su","raw_affiliation_strings":["The University of Melbourne, Melbourne, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Melbourne, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029949641","display_name":"Yunxiang Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunxiang Zhao","raw_affiliation_strings":["Bejing Institute of Biotechnology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bejing Institute of Biotechnology, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070030398","display_name":"Sarah Erfani","orcid":"https://orcid.org/0000-0003-0885-0643"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sarah Erfani","raw_affiliation_strings":["The University of Melbourne, Melbourne, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Melbourne, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068471095","display_name":"Junhao Gan","orcid":"https://orcid.org/0000-0001-9101-1503"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Junhao Gan","raw_affiliation_strings":["The University of Melbourne, Melbourne, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Melbourne, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100421978","display_name":"Rui Zhang","orcid":"https://orcid.org/0000-0001-9418-0863"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rui Zhang","raw_affiliation_strings":["www.ruizhang.info, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"www.ruizhang.info, Shenzhen, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2014,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.93524871,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1676","last_page":"1686"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9922000169754028,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9922000169754028,"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/feature","display_name":"Feature (linguistics)","score":0.8319914937019348},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7337308526039124},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6361425518989563},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5932645797729492},{"id":"https://openalex.org/keywords/infomax","display_name":"Infomax","score":0.5353288054466248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5159614682197571},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.45932623744010925},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4587254226207733},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4027281403541565},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32864052057266235},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1254236400127411}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.8319914937019348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7337308526039124},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6361425518989563},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5932645797729492},{"id":"https://openalex.org/C153402090","wikidata":"https://www.wikidata.org/wiki/Q6030480","display_name":"Infomax","level":4,"score":0.5353288054466248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5159614682197571},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.45932623744010925},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4587254226207733},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4027281403541565},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32864052057266235},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1254236400127411},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3534678.3539238","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3534678.3539238","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2206.13764","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2206.13764","pdf_url":"https://arxiv.org/pdf/2206.13764","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:2206.13764","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2206.13764","pdf_url":"https://arxiv.org/pdf/2206.13764","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":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G4365966051","display_name":null,"funder_award_id":"DE190101118,DE220100680","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G5154733194","display_name":null,"funder_award_id":"201808240005","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1994389483","https://openalex.org/W2078093994","https://openalex.org/W2122925692","https://openalex.org/W2137983211","https://openalex.org/W2155279768","https://openalex.org/W2155912844","https://openalex.org/W2295739661","https://openalex.org/W2470457291","https://openalex.org/W2475334473","https://openalex.org/W2548228487","https://openalex.org/W2604662567","https://openalex.org/W2606780347","https://openalex.org/W2624407581","https://openalex.org/W2793768763","https://openalex.org/W2803832867","https://openalex.org/W2887997457","https://openalex.org/W2892880750","https://openalex.org/W2898085636","https://openalex.org/W2945684222","https://openalex.org/W2945827670","https://openalex.org/W2962711740","https://openalex.org/W2963323306","https://openalex.org/W2963828549","https://openalex.org/W2964052347","https://openalex.org/W2997130580","https://openalex.org/W3005680577","https://openalex.org/W3013549089","https://openalex.org/W3026092005","https://openalex.org/W3081190557","https://openalex.org/W3093945404","https://openalex.org/W3100278010","https://openalex.org/W3101704389","https://openalex.org/W3104030692","https://openalex.org/W3104439459","https://openalex.org/W3156636935","https://openalex.org/W3157311414","https://openalex.org/W3160448238","https://openalex.org/W3164906010","https://openalex.org/W3170187879","https://openalex.org/W3174341621","https://openalex.org/W4232613155","https://openalex.org/W4239167255","https://openalex.org/W4287646600","https://openalex.org/W4287812705","https://openalex.org/W4288268072","https://openalex.org/W4294568351","https://openalex.org/W4362223627"],"related_works":["https://openalex.org/W2344296381","https://openalex.org/W1534036872","https://openalex.org/W2356393804","https://openalex.org/W2181972346","https://openalex.org/W2899492207","https://openalex.org/W2365609124","https://openalex.org/W2390909523","https://openalex.org/W2002451346","https://openalex.org/W1483727642","https://openalex.org/W4283731685"],"abstract_inverted_index":{"Detecting":[0],"beneficial":[1,54,60,90,142],"feature":[2,19,30,55,61,91,105,143],"interactions":[3,31,62,92,106,121],"is":[4,32,83],"essential":[5],"in":[6,167],"recommender":[7],"systems,":[8],"and":[9,96,122,145],"existing":[10,41],"approaches":[11,42],"achieve":[12,133],"this":[13,70],"by":[14,163],"examining":[15,25],"all":[16,26,118],"the":[17,22,27,37,67,84,115,119,151],"possible":[18,28,120],"interactions.":[20],"However,":[21],"cost":[23],"of":[24,49,93,103,117,141,169],"higher-order":[29],"prohibitive":[33],"(exponentially":[34],"growing":[35],"with":[36,63],"order":[38,46],"increasing).":[39],"Hence":[40],"only":[43],"detect":[44],"limited":[45],"(e.g.,":[47],"combinations":[48],"up":[50,164],"to":[51,110,149,165],"four":[52],"features)":[53],"interactions,":[56,144],"which":[57],"may":[58],"miss":[59],"orders":[64,95],"higher":[65],"than":[66,114],"limitation.":[68],"In":[69],"paper,":[71],"we":[72,137],"propose":[73,146],"a":[74,127],"hypergraph":[75],"neural":[76],"network":[77],"based":[78],"model":[79,125],"named":[80],"HIRS.":[81],"HIRS":[82,159],"first":[85],"work":[86],"that":[87,158],"directly":[88],"generates":[89],"arbitrary":[94],"makes":[97],"recommendation":[98,170],"predictions":[99],"accordingly.":[100],"The":[101],"number":[102,116],"generated":[104],"can":[107],"be":[108,111],"specified":[109],"much":[112,128],"smaller":[113],"hence,":[123],"our":[124],"admits":[126],"lower":[129],"running":[130],"time.":[131],"To":[132],"an":[134],"effective":[135],"algorithm,":[136],"exploit":[138],"three":[139],"properties":[140],"deep-infomax-based":[147],"methods":[148],"guide":[150],"interaction":[152],"generation.":[153],"Our":[154],"experimental":[155],"results":[156],"show":[157],"outperforms":[160],"state-of-the-art":[161],"algorithms":[162],"5%":[166],"terms":[168],"accuracy.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}
