{"id":"https://openalex.org/W4288770410","doi":"https://doi.org/10.1109/tkde.2022.3194952","title":"TAG: Joint Triple-Hierarchical Attention and GCN for Review-Based Social Recommender System","display_name":"TAG: Joint Triple-Hierarchical Attention and GCN for Review-Based Social Recommender System","publication_year":2022,"publication_date":"2022-07-29","ids":{"openalex":"https://openalex.org/W4288770410","doi":"https://doi.org/10.1109/tkde.2022.3194952"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2022.3194952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3194952","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","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/A5039733842","display_name":"Pengpeng Qiao","orcid":"https://orcid.org/0000-0002-2428-8737"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengpeng Qiao","raw_affiliation_strings":["School of Computer Science &#x0026; Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2428-8737","affiliations":[{"raw_affiliation_string":"School of Computer Science &#x0026; Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061240612","display_name":"Zhiwei Zhang","orcid":"https://orcid.org/0000-0003-3482-6831"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Zhang","raw_affiliation_strings":["School of Computer Science &#x0026; Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science &#x0026; Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081827896","display_name":"Zhetao Li","orcid":"https://orcid.org/0000-0002-7804-0286"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhetao Li","raw_affiliation_strings":["College of Information Science and Technology, Jinan University, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0002-7804-0286","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Jinan University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I159948400"]}]},{"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/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanxing Zhang","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1460-8124","affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064314482","display_name":"Kaigui Bian","orcid":null},"institutions":[{"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"],"is_corresponding":false,"raw_author_name":"Kaigui Bian","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0136-6082","affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068312095","display_name":"Yanzhou Li","orcid":"https://orcid.org/0009-0007-7762-4355"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yanzhou Li","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054991337","display_name":"Guoren Wang","orcid":"https://orcid.org/0000-0002-0181-8379"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoren Wang","raw_affiliation_strings":["School of Computer Science &#x0026; Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0181-8379","affiliations":[{"raw_affiliation_string":"School of Computer Science &#x0026; Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.4338,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.97282968,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"35","issue":"10","first_page":"9904","last_page":"9919"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9958000183105469,"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":0.9900000095367432,"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":0.858036458492279},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8220217227935791},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6730409860610962},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.4841676354408264},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4601192772388458},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43728744983673096},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4240516424179077},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.42323800921440125},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4064056873321533},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.3793754577636719},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35697299242019653},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35159367322921753},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3379213809967041},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.32828399538993835},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13452544808387756}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.858036458492279},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8220217227935791},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6730409860610962},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.4841676354408264},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4601192772388458},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43728744983673096},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4240516424179077},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.42323800921440125},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4064056873321533},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.3793754577636719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35697299242019653},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35159367322921753},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3379213809967041},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.32828399538993835},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13452544808387756},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2022.3194952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3194952","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8718608543","display_name":null,"funder_award_id":"62032020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8943351124","display_name":"\u591a\u94fe\u73af\u5883\u4e0b\u533a\u5757\u94fe\u6570\u636e\u7ba1\u7406\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"62072035","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1991418309","https://openalex.org/W1994389483","https://openalex.org/W2099970131","https://openalex.org/W2130650317","https://openalex.org/W2148292526","https://openalex.org/W2152184085","https://openalex.org/W2157331557","https://openalex.org/W2157881433","https://openalex.org/W2159094788","https://openalex.org/W2194775991","https://openalex.org/W2461159003","https://openalex.org/W2470673105","https://openalex.org/W2575006718","https://openalex.org/W2624407581","https://openalex.org/W2749348810","https://openalex.org/W2786995169","https://openalex.org/W2788376297","https://openalex.org/W2788953034","https://openalex.org/W2808111827","https://openalex.org/W2908404712","https://openalex.org/W2914721378","https://openalex.org/W2916582722","https://openalex.org/W2922530940","https://openalex.org/W2955380732","https://openalex.org/W2963146368","https://openalex.org/W2963163009","https://openalex.org/W2963386237","https://openalex.org/W2963467630","https://openalex.org/W2987954551","https://openalex.org/W2996863522","https://openalex.org/W2997892038","https://openalex.org/W2998167534","https://openalex.org/W3009067351","https://openalex.org/W3011233455","https://openalex.org/W3040127368","https://openalex.org/W3082499364","https://openalex.org/W3100921056","https://openalex.org/W3105787366","https://openalex.org/W3167673500","https://openalex.org/W3190794503","https://openalex.org/W4293228660","https://openalex.org/W4297733535","https://openalex.org/W6606574181","https://openalex.org/W6636510571","https://openalex.org/W6680830989","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6745537798","https://openalex.org/W6752110883","https://openalex.org/W6771932116","https://openalex.org/W6779961489"],"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":{"Recommender":[0],"systems":[1,70],"across":[2,195],"many":[3,32],"Internet":[4],"services":[5,33],"have":[6,49,71],"become":[7],"a":[8,56],"critical":[9],"part":[10],"of":[11,26,65],"online":[12],"businesses,":[13],"as":[14,55],"consumers":[15],"would":[16],"refer":[17],"to":[18,37,52,74,82,126,149,164],"them":[19],"before":[20],"making":[21],"decisions.":[22],"However,":[23,91],"the":[24,47,63,76,84,96,106,128,133,137],"lack":[25],"explicit":[27],"ratings":[28],"for":[29,88,99,144,182],"items":[30,81],"on":[31,95],"makes":[34],"it":[35],"challenging":[36],"capture":[38],"user":[39,101,166],"preferences":[40],"and":[41,46,80,102,142,154,167,184,198],"item":[42,168],"characteristics.":[43],"Both":[44],"academia":[45],"industry":[48],"drawn":[50],"attention":[51,163],"rating":[53,89,123,145],"predications":[54],"fundamental":[57],"problem":[58,87],"in":[59],"recommendation":[60],"systems.":[61],"With":[62],"emergence":[64],"social":[66,68,122,129],"networks,":[67],"recommender":[69],"been":[72],"proposed":[73],"utilize":[75],"relationship":[77],"between":[78,108,131,140],"users":[79,109,183],"alleviate":[83],"data":[85],"sparsity":[86],"predictions.":[90,146],"they":[92],"either":[93],"concentrate":[94],"opinion":[97],"mining":[98],"each":[100],"item,":[103],"or":[104],"consider":[105,150],"connections":[107],"only.":[110],"In":[111,147],"this":[112],"paper,":[113],"we":[114,158],"present":[115],"an":[116,175],"effective":[117,180],"framework,":[118],"Triple-hierarchical":[119],"Attention":[120],"Graph-based":[121],"prediction":[124],"(TAG),":[125],"exploit":[127],"relationships":[130,139],"users,":[132],"user-item":[134],"interest":[135],"relationships,":[136,157],"correlation":[138],"items,":[141],"reviews":[143,153],"order":[148],"opinions":[151],"from":[152,170],"these":[155],"complex":[156],"first":[159],"employ":[160],"two":[161],"triple-hierarchical":[162],"extract":[165],"features":[169],"reviews.":[171],"We":[172],"then":[173],"design":[174],"inductive":[176],"GNN,":[177],"which":[178],"generates":[179],"embedding":[181],"items.":[185],"Experiments":[186],"over":[187],"Yelp":[188],"show":[189],"that":[190],"TAG":[191],"outperforms":[192],"state-of-the-art":[193],"methods":[194],"RMSE,":[196],"MAE,":[197],"NDCG":[199],"metrics.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
