{"id":"https://openalex.org/W4324046908","doi":"https://doi.org/10.1145/3587272","title":"An Explicitly Weighted GCN Aggregator based on Temporal and Popularity Features for Recommendation","display_name":"An Explicitly Weighted GCN Aggregator based on Temporal and Popularity Features for Recommendation","publication_year":2023,"publication_date":"2023-03-13","ids":{"openalex":"https://openalex.org/W4324046908","doi":"https://doi.org/10.1145/3587272"},"language":"en","primary_location":{"id":"doi:10.1145/3587272","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3587272","pdf_url":null,"source":{"id":"https://openalex.org/S4387284325","display_name":"ACM Transactions on Recommender Systems","issn_l":"2770-6699","issn":["2770-6699"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Recommender Systems","raw_type":"journal-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/A5100453921","display_name":"Xueqi Li","orcid":"https://orcid.org/0000-0002-1477-9276"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueqi Li","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0002-1477-9276","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107094004","display_name":"Guoqing Xiao","orcid":"https://orcid.org/0000-0001-5008-4829"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqing Xiao","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Chnina Shenzhen Research Institute, Hunan University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-5008-4829","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Chnina Shenzhen Research Institute, Hunan University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035942362","display_name":"Yuedan Chen","orcid":"https://orcid.org/0000-0001-5665-268X"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuedan Chen","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Chnina Shenzhen Research Institute, Hunan University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-5665-268X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Chnina Shenzhen Research Institute, Hunan University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961","https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008574161","display_name":"Zhuo Tang","orcid":"https://orcid.org/0000-0001-9081-8153"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Tang","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0001-9081-8153","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001777600","display_name":"Wenjun Jiang","orcid":"https://orcid.org/0000-0003-4985-7454"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjun Jiang","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0003-4985-7454","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078793726","display_name":"Kenli Li","orcid":"https://orcid.org/0000-0002-2635-7716"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kenli Li","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0002-2635-7716","affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.5213,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.94860081,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"1","issue":"2","first_page":"1","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9993000030517578,"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":0.9814000129699707,"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/news-aggregator","display_name":"News aggregator","score":0.8379055261611938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7894625067710876},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.7351062297821045},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5055341720581055},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4662911295890808},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4656693637371063},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4482455849647522},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4359195828437805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42872804403305054},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37085068225860596},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36861854791641235}],"concepts":[{"id":"https://openalex.org/C180505990","wikidata":"https://www.wikidata.org/wiki/Q498267","display_name":"News aggregator","level":2,"score":0.8379055261611938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7894625067710876},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.7351062297821045},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5055341720581055},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4662911295890808},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4656693637371063},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4482455849647522},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4359195828437805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42872804403305054},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37085068225860596},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36861854791641235},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3587272","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3587272","pdf_url":null,"source":{"id":"https://openalex.org/S4387284325","display_name":"ACM Transactions on Recommender Systems","issn_l":"2770-6699","issn":["2770-6699"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Recommender Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4859438944","display_name":null,"funder_award_id":"2023A1515012915","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1970165121","https://openalex.org/W2046974451","https://openalex.org/W2072992969","https://openalex.org/W2080320419","https://openalex.org/W2110818436","https://openalex.org/W2219888463","https://openalex.org/W2622645393","https://openalex.org/W2748058847","https://openalex.org/W2923126305","https://openalex.org/W3033688252","https://openalex.org/W3045200674","https://openalex.org/W3068709185","https://openalex.org/W3092103025","https://openalex.org/W3094605801","https://openalex.org/W3097679710","https://openalex.org/W3153325943","https://openalex.org/W3165654682","https://openalex.org/W3170713142","https://openalex.org/W3173953560","https://openalex.org/W4206482253","https://openalex.org/W4310228395","https://openalex.org/W6796674723"],"related_works":["https://openalex.org/W3036238356","https://openalex.org/W2368605798","https://openalex.org/W2767445978","https://openalex.org/W2603387358","https://openalex.org/W2570892890","https://openalex.org/W3092831610","https://openalex.org/W2012785328","https://openalex.org/W2015184777","https://openalex.org/W2518037665","https://openalex.org/W962287279"],"abstract_inverted_index":{"Graph":[0],"convolutional":[1],"network":[2,83],"(GCN)":[3],"has":[4],"been":[5],"extensively":[6],"applied":[7],"to":[8,22,122,179,205,219,239],"recommender":[9],"systems":[10],"(RS)":[11],"and":[12,28,77,94,106,149,193,212,249],"achieved":[13],"significant":[14],"performance":[15],"improvements":[16],"through":[17],"iteratively":[18],"aggregating":[19],"high-order":[20],"neighbors":[21,43,181],"model":[23,103],"the":[24,36,44,61,78,102,114,124,157,161,213,221,225,241,251],"relevance":[25],"between":[26],"users":[27],"items":[29],"as":[30,32,71,84,209],"well":[31],"their":[33],"characteristics.":[34],"In":[35,56],"aggregation":[37],"process,":[38],"GCN":[39,119,171],"models":[40],"usually":[41],"give":[42],"same":[45],"or":[46,66,127,186],"trainable":[47],"weights":[48,211,222],"based":[49,120,141,166,182,223],"on":[50,142,167,183,224,235],"implicit":[51,85],"features,":[52,146],"ignoring":[53],"explicit":[54,64,72,92,125,131,184],"ones.":[55],"this":[57,134],"work,":[58],"we":[59,116,153,174,189,231],"take":[60],"features":[62,93,126,185],"with":[63,68,113,130],"meanings":[65],"extracted":[67,129],"specific":[69,139],"purpose":[70],"ones":[73,86],"(e.g.,":[74,87],"temporal":[75,147,207,210],"features)":[76],"others":[79],"contained":[80],"in":[81,100,108,133,164,245],"user-item":[82],"user":[88],"preferences).":[89],"However,":[90],"some":[91],"knowledge":[95],"play":[96],"an":[97],"essential":[98],"role":[99],"improving":[101,246],"representation":[104,162],"ability":[105],"explainability":[107],"recommendation":[109,247],"systems.":[110],"To":[111],"deal":[112],"limitation,":[115],"propose":[117,175],"a":[118,176,191],"framework":[121,178],"embed":[123],"those":[128],"intentions":[132],"work.":[135],"We":[136],"also":[137],"provide":[138],"implementations":[140],"two":[143,168],"commonly":[144,169],"researched":[145],"evolution":[148,208],"popularity":[150,158,227,252],"bias.":[151,253],"Specifically,":[152],"first":[154],"experimentally":[155],"analyze":[156],"bias":[159],"of":[160,243],"learning":[163],"RS":[165],"used":[170],"models.":[172],"Secondly,":[173],"general":[177],"weigh":[180],"intentions.":[187],"Thirdly,":[188],"implement":[190],"Temporal":[192],"Popularity":[194],"weighted":[195],"Aggregator":[196],"(TPA)":[197],"for":[198],"GCN.":[199],"The":[200],"Interest-Forgetting":[201],"Curve":[202],"is":[203,217],"utilized":[204],"capture":[206],"data-driven":[214],"Beta":[215],"distribution":[216],"employed":[218],"tune":[220],"node":[226],"flexibly.":[228],"At":[229],"last,":[230],"conduct":[232],"extensive":[233],"experiments":[234],"three":[236],"real-world":[237],"datasets":[238],"demonstrate":[240],"effectiveness":[242],"TPA":[244],"accuracy":[248],"alleviating":[250]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}