{"id":"https://openalex.org/W3012731857","doi":"https://doi.org/10.1145/3366423.3380237","title":"Efficient Neural Interaction Function Search for Collaborative Filtering","display_name":"Efficient Neural Interaction Function Search for Collaborative Filtering","publication_year":2020,"publication_date":"2020-04-20","ids":{"openalex":"https://openalex.org/W3012731857","doi":"https://doi.org/10.1145/3366423.3380237","mag":"3012731857"},"language":"en","primary_location":{"id":"doi:10.1145/3366423.3380237","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380237","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3366423.3380237","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072484211","display_name":"Quanming Yao","orcid":"https://orcid.org/0000-0001-8944-8618"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Quanming Yao","raw_affiliation_strings":["4Paradigm Inc. (Hong Kong), China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"4Paradigm Inc. (Hong Kong), China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101698840","display_name":"Xiangning Chen","orcid":"https://orcid.org/0000-0001-9575-9447"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiangning Chen","raw_affiliation_strings":["Compute Science UCLA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Compute Science UCLA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070273088","display_name":"James T. Kwok","orcid":"https://orcid.org/0000-0002-4828-8248"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"James T. Kwok","raw_affiliation_strings":["Dept. of Computer Science and Engineering HKUST, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science and Engineering HKUST, China","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355277","display_name":"Yong Li","orcid":"https://orcid.org/0000-0001-5617-1659"},"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":"Yong Li","raw_affiliation_strings":["Dept. of Electronic Engineering Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electronic Engineering Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010841999","display_name":"Cho\u2010Jui Hsieh","orcid":"https://orcid.org/0000-0002-3520-9627"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cho-Jui Hsieh","raw_affiliation_strings":["Compute Science UCLA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Compute Science UCLA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1660","last_page":"1670"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9922000169754028,"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":0.9922000169754028,"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/T10057","display_name":"Face and Expression Recognition","score":0.9894999861717224,"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/T11309","display_name":"Music and Audio Processing","score":0.9746999740600586,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.7827061414718628},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.689470648765564},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.6220775842666626},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5229607224464417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.509601354598999},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4985373020172119},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4561450183391571},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.43532732129096985},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4327545762062073},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4246545433998108},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.3162803649902344}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7827061414718628},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.689470648765564},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.6220775842666626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5229607224464417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.509601354598999},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4985373020172119},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4561450183391571},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.43532732129096985},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4327545762062073},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4246545433998108},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.3162803649902344},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3366423.3380237","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380237","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-104141","is_oa":false,"landing_page_url":"http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000626273301065","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-104141","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-104141","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":{"id":"doi:10.1145/3366423.3380237","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380237","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of The Web Conference 2020","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1437335841","https://openalex.org/W1994389483","https://openalex.org/W2001114276","https://openalex.org/W2024165284","https://openalex.org/W2094286023","https://openalex.org/W2097998348","https://openalex.org/W2100235918","https://openalex.org/W2102937240","https://openalex.org/W2118550318","https://openalex.org/W2121863487","https://openalex.org/W2124659975","https://openalex.org/W2135790056","https://openalex.org/W2137245235","https://openalex.org/W2166107799","https://openalex.org/W2173248099","https://openalex.org/W2182361439","https://openalex.org/W2184148260","https://openalex.org/W2405601855","https://openalex.org/W2515144511","https://openalex.org/W2525579820","https://openalex.org/W2557283755","https://openalex.org/W2611328865","https://openalex.org/W2899457449","https://openalex.org/W2908974255","https://openalex.org/W2949544809","https://openalex.org/W2952449615","https://openalex.org/W2962712142","https://openalex.org/W3031047561","https://openalex.org/W3105114834","https://openalex.org/W4213308398","https://openalex.org/W4214717370","https://openalex.org/W4246999471","https://openalex.org/W4248672808","https://openalex.org/W6674385629","https://openalex.org/W6758920291"],"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":{"In":[0],"collaborative":[1],"filtering":[2],"(CF),":[3],"interaction":[4,98],"function":[5],"(IFC)":[6],"play":[7],"the":[8,23,80,93,134,143],"important":[9],"role":[10],"of":[11,83],"capturing":[12],"interactions":[13,36],"among":[14],"items":[15],"and":[16,50,105,117,136,165,174],"users.":[17],"The":[18],"most":[19],"popular":[20,152],"IFC":[21],"is":[22,63,115],"inner":[24],"product,":[25],"which":[26,52],"has":[27],"been":[28,59],"successfully":[29],"used":[30],"in":[31,37,90,101],"low-rank":[32],"matrix":[33],"factorization.":[34],"However,":[35],"real-world":[38],"applications":[39],"can":[40,146,155,166],"be":[41,147],"highly":[42],"complex.":[43],"Thus,":[44],"other":[45],"operations":[46],"(such":[47],"as":[48,119],"plus":[49],"concatenation),":[51],"may":[53],"potentially":[54],"offer":[55],"better":[56,158],"performance,":[57],"have":[58,70],"proposed.":[60],"Nevertheless,":[61],"it":[62],"still":[64],"hard":[65],"for":[66,95,170],"existing":[67,107],"IFCs":[68,169],"to":[69],"consistently":[71],"good":[72],"performance":[73,160],"across":[74],"different":[75,171],"application":[76],"scenarios.":[77],"Motivated":[78],"by":[79],"recent":[81],"success":[82],"automated":[84],"machine":[85],"learning":[86,137],"(AutoML),":[87],"we":[88],"propose":[89,125],"this":[91],"paper":[92],"search":[94,113,128],"simple":[96],"neural":[97],"functions":[99],"(SIF)":[100],"CF.":[102],"By":[103],"examining":[104],"generalizing":[106],"CF":[108,163],"approaches,":[109,154,164],"an":[110,126],"expressive":[111],"SIF":[112],"space":[114],"designed":[116],"represented":[118],"a":[120],"structured":[121],"multi-layer":[122],"perceptron.":[123],"We":[124],"one-shot":[127],"algorithm":[129],"that":[130,142],"simultaneously":[131],"updates":[132],"both":[133],"architecture":[135],"parameters.":[138],"Experimental":[139],"results":[140],"demonstrate":[141],"proposed":[144],"method":[145],"much":[148,157],"more":[149],"efficient":[150],"than":[151,161],"AutoML":[153],"obtain":[156],"prediction":[159],"state-of-the-art":[162],"discover":[167],"distinct":[168],"data":[172],"sets":[173],"tasks.1":[175]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
