{"id":"https://openalex.org/W4387846585","doi":"https://doi.org/10.1145/3583780.3615063","title":"SMEF: Social-aware Multi-dimensional Edge Features-based Graph Representation Learning for Recommendation","display_name":"SMEF: Social-aware Multi-dimensional Edge Features-based Graph Representation Learning for Recommendation","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387846585","doi":"https://doi.org/10.1145/3583780.3615063"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3615063","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","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/A5029940041","display_name":"Xiao Liu","orcid":"https://orcid.org/0000-0001-6943-9861"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Liu","raw_affiliation_strings":["Department of Cyber Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-6943-9861","affiliations":[{"raw_affiliation_string":"Department of Cyber Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059161616","display_name":"Shunmei Meng","orcid":"https://orcid.org/0000-0002-6173-9787"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunmei Meng","raw_affiliation_strings":["Department of Computer Science and Engineering, Nanjing University of Science and Technology &amp; State Key Lab. for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-6173-9787","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Nanjing University of Science and Technology &amp; State Key Lab. for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090335612","display_name":"Qianmu Li","orcid":"https://orcid.org/0000-0002-0998-1517"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianmu Li","raw_affiliation_strings":["Digital Economy Research Institute, Nanjing University of Science &amp; Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-0998-1517","affiliations":[{"raw_affiliation_string":"Digital Economy Research Institute, Nanjing University of Science &amp; Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006514077","display_name":"Lianyong Qi","orcid":"https://orcid.org/0000-0001-9875-9856"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianyong Qi","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0001-9875-9856","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007818509","display_name":"Xiaolong Xu","orcid":"https://orcid.org/0000-0003-4879-9803"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Xu","raw_affiliation_strings":["Nanjing University of Information Science &amp; Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-4879-9803","affiliations":[{"raw_affiliation_string":"Nanjing University of Information Science &amp; Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038791483","display_name":"Wanchun Dou","orcid":"https://orcid.org/0000-0003-4833-2023"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanchun Dou","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-4833-2023","affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076120553","display_name":"Xuyun Zhang","orcid":"https://orcid.org/0000-0001-7353-4159"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xuyun Zhang","raw_affiliation_strings":["Macquarie University, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0001-7353-4159","affiliations":[{"raw_affiliation_string":"Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"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":"1566","last_page":"1575"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9987000226974487,"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/T10028","display_name":"Topic Modeling","score":0.9635000228881836,"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":0.8282970190048218},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.636034369468689},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5855643153190613},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5404980182647705},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4642183780670166},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.45748037099838257},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.45447689294815063},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4246973991394043},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4155900776386261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39121013879776},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3781827688217163},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3470068573951721}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8282970190048218},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.636034369468689},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5855643153190613},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5404980182647705},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4642183780670166},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.45748037099838257},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45447689294815063},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4246973991394043},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4155900776386261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39121013879776},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3781827688217163},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3470068573951721},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583780.3615063","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G3882200945","display_name":null,"funder_award_id":"KFKT2022B28","funder_id":"https://openalex.org/F4320326895","funder_display_name":"State Key Laboratory of Novel Software Technology"}],"funders":[{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320326895","display_name":"State Key Laboratory of Novel Software Technology","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W1980853671","https://openalex.org/W1994389483","https://openalex.org/W2054141820","https://openalex.org/W2069065514","https://openalex.org/W2108920354","https://openalex.org/W2135598826","https://openalex.org/W2142144955","https://openalex.org/W2161984370","https://openalex.org/W2604662567","https://openalex.org/W2605350416","https://openalex.org/W2621465063","https://openalex.org/W2892880750","https://openalex.org/W2899291427","https://openalex.org/W2913668833","https://openalex.org/W2913754224","https://openalex.org/W2914721378","https://openalex.org/W2945827670","https://openalex.org/W2955141733","https://openalex.org/W2963146368","https://openalex.org/W3022522270","https://openalex.org/W3035524453","https://openalex.org/W3036446966","https://openalex.org/W3045200674","https://openalex.org/W3080374445","https://openalex.org/W3092753574","https://openalex.org/W3094605801","https://openalex.org/W3099152386","https://openalex.org/W3100278010","https://openalex.org/W3113090643","https://openalex.org/W3153325943","https://openalex.org/W3155496675","https://openalex.org/W3155936517","https://openalex.org/W3156622960","https://openalex.org/W3158371160","https://openalex.org/W3170682786","https://openalex.org/W3173365306","https://openalex.org/W3173804797","https://openalex.org/W3176302227","https://openalex.org/W3186163092","https://openalex.org/W3193766423","https://openalex.org/W3198760092","https://openalex.org/W3200650376","https://openalex.org/W3211072770","https://openalex.org/W3214038996","https://openalex.org/W3217045679","https://openalex.org/W4200431568","https://openalex.org/W4212835176","https://openalex.org/W4224319012","https://openalex.org/W4224325975","https://openalex.org/W4224326201","https://openalex.org/W4224914537","https://openalex.org/W4225586447","https://openalex.org/W4281568214","https://openalex.org/W4284701295","https://openalex.org/W4285299374","https://openalex.org/W4290875571","https://openalex.org/W4290943719","https://openalex.org/W4292950683","https://openalex.org/W4306316930","https://openalex.org/W4306317014","https://openalex.org/W4306317072","https://openalex.org/W4306317227","https://openalex.org/W4306778587","https://openalex.org/W4308831520","https://openalex.org/W4309795480","https://openalex.org/W4312345918","https://openalex.org/W4319653986","https://openalex.org/W4321480019","https://openalex.org/W4367047075","https://openalex.org/W6601630192","https://openalex.org/W6609612681","https://openalex.org/W6797907005"],"related_works":["https://openalex.org/W2468279273","https://openalex.org/W2354198838","https://openalex.org/W1989130879","https://openalex.org/W2103419012","https://openalex.org/W4390273403","https://openalex.org/W2988126442","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W4285218279"],"abstract_inverted_index":{"Exploring":[0],"user-item":[1,26,68,135],"interaction":[2,15,84,177],"cues":[3,16,160],"is":[4,17,28,182],"crucial":[5],"for":[6],"the":[7,34,52,63,76,88,130,138,156,165],"performance":[8,90],"of":[9,14,36,57,91,133],"recommender":[10],"systems.":[11,93],"Explicit":[12],"investigation":[13],"made":[18],"possible":[19],"by":[20,30],"using":[21],"graph-based":[22,42],"models,":[23],"where":[24],"each":[25,134],"relationship":[27,53,159],"described":[29],"an":[31],"edge,":[32],"and":[33,59,83,115,120,151,176,194],"introduction":[35],"user-user":[37],"social":[38,72,82,149,175],"network.":[39],"While":[40],"existing":[41,92],"recommendation":[43,73,192],"methods":[44,74],"use":[45],"only":[46],"a":[47,55,99,118,123,183],"single-value":[48],"edge":[49,125,168],"to":[50,65,127,200],"define":[51],"between":[54],"pair":[56],"user":[58,78,145,171,204],"item,":[60],"which":[61,154],"limits":[62],"ability":[64],"represent":[66],"complex":[67],"interactions.":[69],"Furthermore,":[70],"some":[71],"overlook":[75],"heterogeneous":[77,158],"behavior":[79,146],"patterns":[80,147],"in":[81,87],"relationships,":[85],"resulting":[86],"suboptimal":[89],"In":[94],"this":[95],"paper,":[96],"we":[97],"propose":[98],"novel":[100],"Social-aware":[101],"Multi-dimensional":[102],"Edge":[103],"Feature-based":[104],"Graph":[105,195],"Representation":[106],"Learning":[107],"method,":[108],"called":[109],"SMEF.":[110],"It":[111],"represents":[112],"all":[113],"users":[114],"items":[116],"as":[117],"graph":[119],"deep":[121],"learns":[122],"multi-dimensional":[124,167],"feature":[126],"explicitly":[128],"describe":[129],"task-specific":[131],"relationships":[132],"pair.":[136],"Specifically,":[137],"proposed":[139,180],"SMEF":[140,181],"focuses":[141],"on":[142,210],"two":[143],"distinct":[144],"toward":[148],"friends":[150],"interactive":[152],"items,":[153],"explore":[155],"underlying":[157],"within":[161],"them.":[162],"This":[163],"way,":[164],"learned":[166],"features":[169],"encode":[170],"information":[172],"from":[173],"both":[174],"aspects.":[178],"The":[179,206],"plug-and-play":[184],"module":[185],"that":[186,216],"can":[187],"be":[188],"combined":[189],"with":[190],"different":[191],"frameworks":[193],"Neural":[196],"Networks":[197],"(GNNs)":[198],"backbones":[199],"generate":[201],"high":[202],"quality":[203],"representations.":[205],"experimental":[207],"results":[208],"achieved":[209],"three":[211],"publicly":[212],"accessible":[213],"datasets":[214],"show":[215],"our":[217],"SMEF-based":[218],"method":[219],"outperforms":[220],"strong":[221],"baselines.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
