{"id":"https://openalex.org/W4312993805","doi":"https://doi.org/10.1109/mmsp55362.2022.9949145","title":"Multiple Behaviors Recommendation with Graph Learning","display_name":"Multiple Behaviors Recommendation with Graph Learning","publication_year":2022,"publication_date":"2022-09-26","ids":{"openalex":"https://openalex.org/W4312993805","doi":"https://doi.org/10.1109/mmsp55362.2022.9949145"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp55362.2022.9949145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp55362.2022.9949145","pdf_url":null,"source":{"id":"https://openalex.org/S4363605768","display_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","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":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"},"type":"article","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/A5075420567","display_name":"Silin Zhou","orcid":"https://orcid.org/0009-0006-2889-8862"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Silin Zhou","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100343045","display_name":"Junjie Zhang","orcid":"https://orcid.org/0000-0002-0855-4118"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Zhang","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002042909","display_name":"Lisi Chen","orcid":"https://orcid.org/0000-0003-4233-3543"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lisi Chen","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102754146","display_name":"Shuo Shang","orcid":"https://orcid.org/0000-0002-1117-2890"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Shang","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075420567"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.5821,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68909513,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T12488","display_name":"Mental Health via Writing","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9611999988555908,"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/computer-science","display_name":"Computer science","score":0.813126266002655},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6529505848884583},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5602954030036926},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5512580871582031},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.4784007966518402},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.4442565441131592},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.4355664551258087},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.41125011444091797},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3912830352783203},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39098691940307617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34505486488342285},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3386033773422241},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.29486000537872314}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.813126266002655},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6529505848884583},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5602954030036926},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5512580871582031},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.4784007966518402},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.4442565441131592},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.4355664551258087},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.41125011444091797},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3912830352783203},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39098691940307617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34505486488342285},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3386033773422241},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29486000537872314},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp55362.2022.9949145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp55362.2022.9949145","pdf_url":null,"source":{"id":"https://openalex.org/S4363605768","display_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","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":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","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":34,"referenced_works":["https://openalex.org/W1806220264","https://openalex.org/W1886704267","https://openalex.org/W1966553486","https://openalex.org/W2025605741","https://openalex.org/W2101409192","https://openalex.org/W2140310134","https://openalex.org/W2194775991","https://openalex.org/W2340502990","https://openalex.org/W2517217469","https://openalex.org/W2605350416","https://openalex.org/W2624407581","https://openalex.org/W2888838693","https://openalex.org/W2900229157","https://openalex.org/W2945827670","https://openalex.org/W2951169625","https://openalex.org/W2951369132","https://openalex.org/W2964015378","https://openalex.org/W2996863522","https://openalex.org/W3045200674","https://openalex.org/W3081170586","https://openalex.org/W3087695101","https://openalex.org/W3099386565","https://openalex.org/W3100278010","https://openalex.org/W3100848837","https://openalex.org/W3133451866","https://openalex.org/W3199328271","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W6680830989","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6745537798","https://openalex.org/W6785161141","https://openalex.org/W6791716016"],"related_works":["https://openalex.org/W2348159088","https://openalex.org/W2140699425","https://openalex.org/W2402445420","https://openalex.org/W1773619406","https://openalex.org/W4287763734","https://openalex.org/W3035116611","https://openalex.org/W3094605108","https://openalex.org/W3044354590","https://openalex.org/W2923818335","https://openalex.org/W4212923699"],"abstract_inverted_index":{"Recommendation":[0],"systems":[1],"have":[2,29],"been":[3],"extensively":[4],"investigated":[5],"by":[6],"existing":[7],"studies.":[8],"However,":[9],"previous":[10],"work":[11],"only":[12],"targets":[13],"a":[14,44,84,106,118,155],"single":[15],"type":[16],"of":[17,47,100,120,141],"user":[18,196],"behavior":[19],"(e.g.,":[20,35],"purchase)":[21],"while":[22],"ignoring":[23],"the":[24,66,79,130,138,176,180,194,208,213],"fact":[25],"that":[26,229],"users":[27,58,69,101,114],"usually":[28],"multiple":[30,98,110],"behaviors":[31,41],"when":[32],"browsing":[33],"products":[34],"view,":[36,125],"click,":[37],"add-to-cart).":[38],"These":[39],"different":[40,221],"can":[42],"generate":[43],"large":[45],"number":[46],"attributes":[48],"about":[49],"users.":[50],"Meanwhile,":[51],"in":[52,175],"typical":[53],"collaborative":[54],"filtering":[55],"(CF)":[56],"systems,":[57],"and":[59,70,102,115,126,143,159,187,197,211],"items":[60,71,116],"are":[61],"generally":[62],"handled":[63],"separately.":[64],"Therefore,":[65],"associativity":[67],"between":[68,113],"is":[72],"not":[73],"taken":[74],"into":[75],"account.":[76],"To":[77,96,145,171],"solve":[78,184],"above":[80],"problems,":[81],"we":[82,104,153,178,200],"propose":[83],"novel":[85],"framework":[86],"named":[87],"as":[88,123],"Multiple":[89],"Behaviors":[90],"recommendation":[91,234],"with":[92,109,168],"Graph":[93],"Learning":[94],"(MBGL).":[95],"capture":[97],"characteristics":[99],"items,":[103],"construct":[105,154],"knowledge":[107,131],"graph":[108,132,158,166],"entity":[111,142],"relations":[112],"from":[117,150],"variety":[119],"data,":[121,152],"such":[122],"purchase,":[124],"add-to-cart.":[127],"We":[128],"apply":[129],"embedding":[133,140,149,167,210],"(KGE)":[134],"method":[135],"to":[136,164,183,192,206,216],"learn":[137,147,165,207],"pre-training":[139],"relation.":[144],"better":[146],"high-hop":[148],"multi-behavior":[151],"heterogeneous":[156],"user-item":[157],"further":[160],"design":[161,201],"relation-aware":[162],"GAT":[163],"relation":[169],"type.":[170],"support":[172],"high-order":[173],"dependency":[174],"graph,":[177],"introduce":[179],"residual":[181],"network":[182],"feature":[185],"smoothing":[186],"vanishing":[188],"gradient":[189],"problems.":[190],"Moreover,":[191],"obtain":[193],"high-quality":[195],"item":[198],"embedding,":[199],"an":[202],"attention":[203],"fusion":[204,209],"layer":[205],"adopt":[212],"multi-task":[214],"learning":[215],"predict":[217],"users'":[218],"preferences":[219],"under":[220],"behaviors.":[222],"Experiment":[223],"results":[224],"on":[225],"real-world":[226],"dataset":[227],"show":[228],"our":[230],"model":[231],"outperforms":[232],"other":[233],"methods.":[235]},"counts_by_year":[{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}