{"id":"https://openalex.org/W3190884738","doi":"https://doi.org/10.24963/ijcai.2021/290","title":"AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System","display_name":"AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3190884738","doi":"https://doi.org/10.24963/ijcai.2021/290","mag":"3190884738"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2021/290","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/290","pdf_url":"https://www.ijcai.org/proceedings/2021/0290.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2021/0290.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084298164","display_name":"Pengyu Zhao","orcid":"https://orcid.org/0000-0002-3349-9456"},"institutions":[{"id":"https://openalex.org/I111483173","display_name":"King University","ror":"https://ror.org/01evb6z23","country_code":"US","type":"education","lineage":["https://openalex.org/I111483173"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Pengyu Zhao","raw_affiliation_strings":["HULU LLC","School of EECS, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HULU LLC","institution_ids":[]},{"raw_affiliation_string":"School of EECS, Peking University","institution_ids":["https://openalex.org/I111483173","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101187135","display_name":"Kecheng Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I111483173","display_name":"King University","ror":"https://ror.org/01evb6z23","country_code":"US","type":"education","lineage":["https://openalex.org/I111483173"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Kecheng Xiao","raw_affiliation_strings":["School of EECS, Peking University","School of EECS, Peking University#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EECS, Peking University","institution_ids":["https://openalex.org/I111483173","https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of EECS, Peking University#TAB#","institution_ids":["https://openalex.org/I111483173","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020022791","display_name":"Yuanxing Zhang","orcid":"https://orcid.org/0000-0003-1460-8124"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuanxing Zhang","raw_affiliation_strings":["Alibaba Group","alibaba group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]},{"raw_affiliation_string":"alibaba group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064314482","display_name":"Kaigui Bian","orcid":null},"institutions":[{"id":"https://openalex.org/I111483173","display_name":"King University","ror":"https://ror.org/01evb6z23","country_code":"US","type":"education","lineage":["https://openalex.org/I111483173"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Kaigui Bian","raw_affiliation_strings":["School of EECS, Peking University","School of EECS, Peking University#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EECS, Peking University","institution_ids":["https://openalex.org/I111483173","https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of EECS, Peking University#TAB#","institution_ids":["https://openalex.org/I111483173","https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101992481","display_name":"Wei Yan","orcid":"https://orcid.org/0000-0001-8119-1539"},"institutions":[{"id":"https://openalex.org/I111483173","display_name":"King University","ror":"https://ror.org/01evb6z23","country_code":"US","type":"education","lineage":["https://openalex.org/I111483173"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Wei Yan","raw_affiliation_strings":["School of EECS, Peking University","School of EECS, Peking University#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of EECS, Peking University","institution_ids":["https://openalex.org/I111483173","https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of EECS, Peking University#TAB#","institution_ids":["https://openalex.org/I111483173","https://openalex.org/I20231570"]}]}],"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":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2104","last_page":"2110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10028","display_name":"Topic Modeling","score":0.9984999895095825,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9973000288009644,"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/recommender-system","display_name":"Recommender system","score":0.8495470285415649},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7798282504081726},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3961416184902191},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3679615557193756},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3288259506225586},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3234262466430664}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8495470285415649},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7798282504081726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3961416184902191},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3679615557193756},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3288259506225586},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3234262466430664}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24963/ijcai.2021/290","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/290","pdf_url":"https://www.ijcai.org/proceedings/2021/0290.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2006.05933","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2006.05933","pdf_url":"https://arxiv.org/pdf/2006.05933","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":"doi:10.24963/ijcai.2021/290","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/290","pdf_url":"https://www.ijcai.org/proceedings/2021/0290.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G129499350","display_name":"\u7f51\u7edc\u5e7f\u544a\u62cd\u5356\u7684\u535a\u5f08\u7406\u8bba\u548c\u8ba1\u7b97\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61632017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4006781021","display_name":null,"funder_award_id":"2017YFB0803302","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7483642958","display_name":null,"funder_award_id":"62032003","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3190884738.pdf","grobid_xml":"https://content.openalex.org/works/W3190884738.grobid-xml"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1677182931","https://openalex.org/W2027731328","https://openalex.org/W2097998348","https://openalex.org/W2119717200","https://openalex.org/W2125930537","https://openalex.org/W2137245235","https://openalex.org/W2140310134","https://openalex.org/W2171279286","https://openalex.org/W2295739661","https://openalex.org/W2475334473","https://openalex.org/W2512971201","https://openalex.org/W2547875792","https://openalex.org/W2548570154","https://openalex.org/W2553303224","https://openalex.org/W2583674722","https://openalex.org/W2604662567","https://openalex.org/W2605350416","https://openalex.org/W2723293840","https://openalex.org/W2736601468","https://openalex.org/W2783272285","https://openalex.org/W2885820039","https://openalex.org/W2896457183","https://openalex.org/W2902040508","https://openalex.org/W2905672847","https://openalex.org/W2914721378","https://openalex.org/W2915992092","https://openalex.org/W2937556626","https://openalex.org/W2943073127","https://openalex.org/W2945403477","https://openalex.org/W2946044191","https://openalex.org/W2948818729","https://openalex.org/W2949264490","https://openalex.org/W2951104886","https://openalex.org/W2951672137","https://openalex.org/W2955425717","https://openalex.org/W2962745591","https://openalex.org/W2962746461","https://openalex.org/W2962847160","https://openalex.org/W2963367478","https://openalex.org/W2963403868","https://openalex.org/W2963821229","https://openalex.org/W2963924287","https://openalex.org/W2963981376","https://openalex.org/W2964044287","https://openalex.org/W2964052347","https://openalex.org/W2964081807","https://openalex.org/W2964259004","https://openalex.org/W2964515685","https://openalex.org/W2964926209","https://openalex.org/W2965658867","https://openalex.org/W2967733054","https://openalex.org/W2984100107","https://openalex.org/W2994749257","https://openalex.org/W2994850640","https://openalex.org/W2998036008","https://openalex.org/W2999270366","https://openalex.org/W3009759658","https://openalex.org/W3013549089","https://openalex.org/W3015646649","https://openalex.org/W3034429256","https://openalex.org/W3034764953","https://openalex.org/W3096533519","https://openalex.org/W3096591391","https://openalex.org/W3098231197","https://openalex.org/W3100848837","https://openalex.org/W3101707147","https://openalex.org/W3104506006","https://openalex.org/W3104789011","https://openalex.org/W3109946440","https://openalex.org/W3168622113","https://openalex.org/W3170187879","https://openalex.org/W3203915045","https://openalex.org/W4299286960","https://openalex.org/W4309845474","https://openalex.org/W4320930577","https://openalex.org/W4385245566","https://openalex.org/W4394666973"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Recently,":[0],"deep":[1],"learning":[2],"models":[3,21,70],"have":[4],"been":[5],"widely":[6],"explored":[7],"in":[8,60,119],"recommender":[9],"systems.":[10],"Though":[11],"having":[12],"achieved":[13],"remarkable":[14],"success,":[15],"the":[16,39,61,67,95,107,115,123,128,132,170],"design":[17,149],"of":[18,41,74,94,146,169],"task-aware":[19],"recommendation":[20,69,120],"usually":[22],"requires":[23],"manual":[24,148],"feature":[25],"engineering":[26,29],"and":[27,46,55,81,98,111,126,150,160,167],"architecture":[28,43,109],"from":[30],"domain":[31],"experts.":[32],"To":[33,105],"relieve":[34],"those":[35],"efforts,":[36],"we":[37],"explore":[38],"potential":[40],"neural":[42],"search":[44,85,118,129],"(NAS)":[45],"introduce":[47],"AMEIR":[48,65,113,142],"for":[49,101],"Automatic":[50],"behavior":[51,75],"Modeling,":[52],"interaction":[53,77],"Exploration":[54],"multi-layer":[56],"perceptron":[57],"(MLP)":[58],"Investigation":[59],"Recommender":[62],"system.":[63],"Specifically,":[64],"divides":[66],"complete":[68],"into":[71],"three":[72,88,124],"stages":[73,125],"modeling,":[76],"exploration,":[78],"MLP":[79],"aggregation,":[80],"introduces":[82],"a":[83],"novel":[84],"space":[86],"containing":[87],"tailored":[89],"subspaces":[90],"that":[91,141],"cover":[92],"most":[93],"existing":[96],"methods":[97,155],"thus":[99],"allow":[100],"searching":[102],"better":[103],"models.":[104],"find":[106],"ideal":[108],"efficiently":[110],"effectively,":[112],"realizes":[114],"one-shot":[116],"random":[117],"progressively":[121],"on":[122],"assembles":[127],"results":[130],"as":[131],"final":[133],"outcome.":[134],"The":[135],"experiment":[136],"over":[137],"various":[138],"scenarios":[139],"reveals":[140],"outperforms":[143],"competitive":[144],"baselines":[145],"elaborate":[147],"leading":[151],"algorithmic":[152],"complex":[153],"NAS":[154],"with":[156],"lower":[157],"model":[158],"complexity":[159],"comparable":[161],"time":[162],"cost,":[163],"indicating":[164],"efficacy,":[165],"efficiency,":[166],"robustness":[168],"proposed":[171],"method.":[172]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}