{"id":"https://openalex.org/W3154608356","doi":"https://doi.org/10.1109/tkde.2021.3073717","title":"Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-Through Rate Prediction","display_name":"Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-Through Rate Prediction","publication_year":2021,"publication_date":"2021-04-21","ids":{"openalex":"https://openalex.org/W3154608356","doi":"https://doi.org/10.1109/tkde.2021.3073717","mag":"3154608356"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2021.3073717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3073717","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/A5024633033","display_name":"Youru Li","orcid":"https://orcid.org/0000-0002-9326-9863"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Youru Li","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China","School of Computer and Information Technology, Beijing Jiaotong University, 47829 Beijing, Beijing, China, (e-mail: liyouru@bjtu.edu.cn)"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, 47829 Beijing, Beijing, China, (e-mail: liyouru@bjtu.edu.cn)","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100750075","display_name":"Xiaobo Guo","orcid":"https://orcid.org/0000-0002-6817-626X"},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Guo","raw_affiliation_strings":["Ant Group, Hangzhou, Zhejiang, China","Ant Financial Services Group, Ant Financial Services Group, Beijing, Beijing, China, (e-mail: jefflittleguo.gxb@antfin.com)"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, Zhejiang, China","institution_ids":[]},{"raw_affiliation_string":"Ant Financial Services Group, Ant Financial Services Group, Beijing, Beijing, China, (e-mail: jefflittleguo.gxb@antfin.com)","institution_ids":["https://openalex.org/I4210090985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100732866","display_name":"Wenfang Lin","orcid":"https://orcid.org/0009-0004-7398-4706"},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenfang Lin","raw_affiliation_strings":["Ant Group, Hangzhou, Zhejiang, China","Ant Financial Services Group, Ant Financial Services Group, Beijing, Beijing, China, (e-mail: moxi.lwf@antfin.com)"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, Zhejiang, China","institution_ids":[]},{"raw_affiliation_string":"Ant Financial Services Group, Ant Financial Services Group, Beijing, Beijing, China, (e-mail: moxi.lwf@antfin.com)","institution_ids":["https://openalex.org/I4210090985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045837483","display_name":"Mingjie Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingjie Zhong","raw_affiliation_strings":["Ant Group, Hangzhou, Zhejiang, China","Ant Financial Services Group, Ant Financial Services Group, Beijing, Beijing, China, (e-mail: mingjie.zmj@antfin.com)"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, Zhejiang, China","institution_ids":[]},{"raw_affiliation_string":"Ant Financial Services Group, Ant Financial Services Group, Beijing, Beijing, China, (e-mail: mingjie.zmj@antfin.com)","institution_ids":["https://openalex.org/I4210090985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076508464","display_name":"Qunwei Li","orcid":"https://orcid.org/0000-0001-8211-8122"},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qunwei Li","raw_affiliation_strings":["Ant Group, Hangzhou, Zhejiang, China","Ant Financial Services Group, Ant Financial Services Group, Beijing, Beijing, China, (e-mail: qunwei.qw@antfin.com)"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, Zhejiang, China","institution_ids":[]},{"raw_affiliation_string":"Ant Financial Services Group, Ant Financial Services Group, Beijing, Beijing, China, (e-mail: qunwei.qw@antfin.com)","institution_ids":["https://openalex.org/I4210090985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107748344","display_name":"Zhongyi Liu","orcid":"https://orcid.org/0009-0006-4080-0776"},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongyi Liu","raw_affiliation_strings":["Ant Group, Hangzhou, Zhejiang, China","Ant Financial Services Group, Ant Financial Services Group, Beijing, Beijing, China, (e-mail: zhongyi.lzy@antfin.com)"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, Zhejiang, China","institution_ids":[]},{"raw_affiliation_string":"Ant Financial Services Group, Ant Financial Services Group, Beijing, Beijing, China, (e-mail: zhongyi.lzy@antfin.com)","institution_ids":["https://openalex.org/I4210090985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002597419","display_name":"Wenliang Zhong","orcid":"https://orcid.org/0009-0006-8861-9503"},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenliang Zhong","raw_affiliation_strings":["Ant Group, Hangzhou, Zhejiang, China","Ant Financial Services Group, Ant Financial Services Group, Beijing, Beijing, China, (e-mail: yice.zwl@antfin.com)"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, Zhejiang, China","institution_ids":[]},{"raw_affiliation_string":"Ant Financial Services Group, Ant Financial Services Group, Beijing, Beijing, China, (e-mail: yice.zwl@antfin.com)","institution_ids":["https://openalex.org/I4210090985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101867605","display_name":"Zhenfeng Zhu","orcid":"https://orcid.org/0000-0001-7315-3276"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenfeng Zhu","raw_affiliation_strings":["Institute of Information Science, Beijing Jiaotong University, Beijing, China","School of Computer & Information Technology, Beijing Jiaotong University, 47829 Beijing, Beijing, China, (e-mail: zhfzhu@bjtu.edu.cn)"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Computer & Information Technology, Beijing Jiaotong University, 47829 Beijing, Beijing, China, (e-mail: zhfzhu@bjtu.edu.cn)","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5024633033"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":4.1311,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.94295443,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"35","issue":"1","first_page":"647","last_page":"657"},"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":0.9984999895095825,"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/T11478","display_name":"Caching and Content Delivery","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8648905754089355},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5829411745071411},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.49802231788635254},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.49130502343177795},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4810907542705536},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4667753279209137},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4498721957206726},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42039650678634644},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.42023709416389465},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.41998058557510376},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3639994263648987},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.36398088932037354}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8648905754089355},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5829411745071411},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.49802231788635254},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.49130502343177795},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4810907542705536},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4667753279209137},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4498721957206726},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42039650678634644},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.42023709416389465},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.41998058557510376},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3639994263648987},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.36398088932037354},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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:10.1109/tkde.2021.3073717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3073717","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/G4994914903","display_name":null,"funder_award_id":"61976018","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":55,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W1862394037","https://openalex.org/W2010187764","https://openalex.org/W2042281163","https://openalex.org/W2090042335","https://openalex.org/W2094286023","https://openalex.org/W2114079787","https://openalex.org/W2131744502","https://openalex.org/W2148217372","https://openalex.org/W2171279286","https://openalex.org/W2184957013","https://openalex.org/W2219888463","https://openalex.org/W2250807343","https://openalex.org/W2475334473","https://openalex.org/W2499696929","https://openalex.org/W2509893387","https://openalex.org/W2579393094","https://openalex.org/W2740305962","https://openalex.org/W2741249238","https://openalex.org/W2767774008","https://openalex.org/W2792839191","https://openalex.org/W2798918712","https://openalex.org/W2801992635","https://openalex.org/W2808087697","https://openalex.org/W2808310571","https://openalex.org/W2884134047","https://openalex.org/W2893775232","https://openalex.org/W2896551277","https://openalex.org/W2904349291","https://openalex.org/W2912351665","https://openalex.org/W2912664727","https://openalex.org/W2913560138","https://openalex.org/W2919013397","https://openalex.org/W2944833253","https://openalex.org/W2945623882","https://openalex.org/W2945827670","https://openalex.org/W2947459187","https://openalex.org/W2949687195","https://openalex.org/W2953122515","https://openalex.org/W2963869731","https://openalex.org/W2966349618","https://openalex.org/W2972510393","https://openalex.org/W2989395463","https://openalex.org/W3002414756","https://openalex.org/W3043738669","https://openalex.org/W3098087397","https://openalex.org/W3100278010","https://openalex.org/W3106439716","https://openalex.org/W3122507327","https://openalex.org/W4251597219","https://openalex.org/W6679775712","https://openalex.org/W6741719136","https://openalex.org/W6759896672","https://openalex.org/W6762867004","https://openalex.org/W6774224449"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2735929803","https://openalex.org/W2170391450","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W4376854386","https://openalex.org/W2202724490"],"abstract_inverted_index":{"Despite":[0],"that":[1,140],"path-based":[2],"and":[3,74,91,123,126],"embedding-based":[4],"models":[5],"with":[6,15,151],"knowledge":[7],"graphs":[8],"(KGs)":[9],"achieve":[10,145],"better":[11,147],"recommendation":[12,134],"performance":[13,149],"compared":[14,150],"other":[16,152],"deep":[17],"learning":[18,65],"based":[19,69],"methods,":[20],"such":[21],"improvement":[22],"is":[23,68,106],"limited":[24],"due":[25],"to":[26,43,79,99,109],"a":[27,40,60],"lack":[28],"of":[29,47,121,130],"modeling":[30],"user's":[31,51],"dynamic":[32,62,111],"interest.":[33],"To":[34],"address":[35],"this":[36],"issue,":[37],"we":[38,58],"explore":[39],"principled":[41],"model":[42,143],"provide":[44],"semantic":[45],"understanding":[46],"each":[48],"item":[49],"in":[50,55,135],"historical":[52],"interest":[53,63,75,113],"sequence":[54,64],"KGs.":[56],"Specifically,":[57],"propose":[59],"multi-granularity":[61],"method,":[66],"which":[67,105],"on":[70,117],"knowledge-enhanced":[71],"path":[72],"mining":[73],"fluctuation":[76],"signal":[77],"discovery,":[78],"obtain":[80,100],"semantic-enhanced":[81],"paths.":[82],"Furthermore,":[83],"the":[84,89,94,101,141],"paths":[85],"are":[86],"embedded":[87],"by":[88],"SEP2Vec,":[90],"merged":[92],"through":[93],"proposed":[95,142],"entropy-aware":[96],"pooling":[97],"layer":[98],"user":[102,112],"preference":[103],"representation,":[104],"then":[107],"used":[108],"learn":[110],"sequence.":[114],"Experimental":[115],"results":[116],"two":[118,127],"public":[119],"datasets":[120,129],"movie":[122],"music":[124],"recommendation,":[125],"industrial":[128],"personalized":[131],"local":[132],"service":[133],"Alipay":[136],"App":[137],"have":[138],"illustrated":[139],"can":[144],"significantly":[146],"prediction":[148],"known":[153],"baselines.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-14T23:14:49.485078","created_date":"2025-10-10T00:00:00"}