{"id":"https://openalex.org/W3118447047","doi":"https://doi.org/10.1145/3428079","title":"Core Interest Network for Click-Through Rate Prediction","display_name":"Core Interest Network for Click-Through Rate Prediction","publication_year":2021,"publication_date":"2021-01-04","ids":{"openalex":"https://openalex.org/W3118447047","doi":"https://doi.org/10.1145/3428079","mag":"3118447047"},"language":"en","primary_location":{"id":"doi:10.1145/3428079","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3428079","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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 Knowledge Discovery from Data","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/A5033488612","display_name":"En Xu","orcid":"https://orcid.org/0000-0002-8654-2788"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"En Xu","raw_affiliation_strings":["Northwestern Polytechnical University, Shaanxi, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100701166","display_name":"Zhiwen Yu","orcid":"https://orcid.org/0000-0002-9905-3238"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Yu","raw_affiliation_strings":["Northwestern Polytechnical University, Shaanxi, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078005520","display_name":"Bin Guo","orcid":"https://orcid.org/0000-0001-6097-2467"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Guo","raw_affiliation_strings":["Northwestern Polytechnical University, Shaanxi, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061725051","display_name":"Helei Cui","orcid":"https://orcid.org/0000-0003-1946-5361"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Helei Cui","raw_affiliation_strings":["Northwestern Polytechnical University, Shaanxi, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Shaanxi, P. R. China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":4.8371,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.95126617,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"15","issue":"2","first_page":"1","last_page":"16"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8030428886413574},{"id":"https://openalex.org/keywords/click-through-rate","display_name":"Click-through rate","score":0.7749016284942627},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.7608141899108887},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.6275647878646851},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6037223935127258},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5665581822395325},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5490725636482239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5313969850540161},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.526799738407135},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5232918858528137},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.521584689617157},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47966650128364563},{"id":"https://openalex.org/keywords/online-advertising","display_name":"Online advertising","score":0.4708996117115021},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3419259786605835},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2590848207473755},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.1879296600818634},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15193122625350952}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8030428886413574},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.7749016284942627},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.7608141899108887},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.6275647878646851},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6037223935127258},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5665581822395325},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5490725636482239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5313969850540161},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.526799738407135},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5232918858528137},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.521584689617157},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47966650128364563},{"id":"https://openalex.org/C512338625","wikidata":"https://www.wikidata.org/wiki/Q624902","display_name":"Online advertising","level":3,"score":0.4708996117115021},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3419259786605835},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2590848207473755},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.1879296600818634},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15193122625350952},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3428079","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3428079","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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 Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4338572700","display_name":null,"funder_award_id":"3102019QD1001","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6697779539","display_name":null,"funder_award_id":"61725205","funder_id":"https://openalex.org/F4320336125","funder_display_name":"National Science Fund for Distinguished Young Scholars"},{"id":"https://openalex.org/G7460574368","display_name":null,"funder_award_id":"61960206008, 61772428, and 62002294","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1678356000","https://openalex.org/W2090883204","https://openalex.org/W2187089797","https://openalex.org/W2295739661","https://openalex.org/W2443960221","https://openalex.org/W2602024454","https://openalex.org/W2604662567","https://openalex.org/W2625746539","https://openalex.org/W2746011824","https://openalex.org/W2747329762","https://openalex.org/W2793768763","https://openalex.org/W2809112621","https://openalex.org/W2809307135","https://openalex.org/W2914050157","https://openalex.org/W2962745591","https://openalex.org/W2963323306","https://openalex.org/W2964182926","https://openalex.org/W3096591391","https://openalex.org/W3098231197","https://openalex.org/W3098649723","https://openalex.org/W3104030692","https://openalex.org/W3104326162","https://openalex.org/W4297971002"],"related_works":["https://openalex.org/W3121555120","https://openalex.org/W4286419063","https://openalex.org/W2957875948","https://openalex.org/W175164097","https://openalex.org/W2100597815","https://openalex.org/W2143648166","https://openalex.org/W1977797174","https://openalex.org/W2106728444","https://openalex.org/W2463331419","https://openalex.org/W3120879483"],"abstract_inverted_index":{"In":[0,79,182],"modern":[1],"online":[2],"advertising":[3],"systems,":[4],"the":[5,15,23,34,43,52,55,80,87,98,113,116,129,136,150,168,175,187,195,199,217],"click-through":[6],"rate":[7],"(CTR)":[8],"is":[9,60,71,119,126],"an":[10,18,46],"important":[11],"index":[12],"to":[13,22,33,104,166],"measure":[14],"popularity":[16],"of":[17,25,36,45,54,72,84,128,133,170,190,201,222],"item.":[19],"It":[20],"refers":[21],"ratio":[24],"users":[26,38,90,191],"who":[27,39],"click":[28],"on":[29,64,207],"a":[30,82,140,159,171],"specific":[31],"advertisement":[32,56],"number":[35],"total":[37],"view":[40],"it.":[41],"Predicting":[42],"CTR":[44,76,176],"item":[47],"in":[48,75,174,220],"advance":[49],"can":[50,215],"improve":[51],"accuracy":[53],"recommendation.":[57],"And":[58],"it":[59],"commonly":[61],"calculated":[62],"based":[63],"users\u2019":[65,69,106,141],"interests.":[66,107],"Thus,":[67],"extracting":[68],"interests":[70,189],"great":[73],"importance":[74],"prediction":[77,177,223],"tasks.":[78,204],"literature,":[81],"lot":[83],"studies":[85],"treat":[86],"interaction":[88],"between":[89],"and":[91,96,192],"items":[92],"as":[93,198],"sequential":[94,180],"data":[95,197],"apply":[97],"recurrent":[99],"neural":[100],"network":[101],"(RNN)":[102],"model":[103,137,165,214],"extract":[105,186],"However,":[108],"these":[109],"solutions":[110,219],"cannot":[111,138],"handle":[112],"case":[114],"when":[115],"sequence":[117,173],"length":[118],"relatively":[120],"long,":[121],"e.g.,":[122],"over":[123],"100.":[124],"This":[125],"because":[127],"vanishing":[130],"gradient":[131],"problem":[132,169],"RNN,":[134],"i.e.,":[135],"learn":[139],"previous":[142],"behaviors":[143],"that":[144,211],"are":[145],"too":[146],"far":[147],"away":[148],"from":[149],"current":[151],"moment.":[152],"To":[153],"address":[154],"this":[155],"problem,":[156],"we":[157,184],"propose":[158],"new":[160],"Core":[161],"Interest":[162],"Network":[163],"(CIN)":[164],"mitigate":[167],"long":[172],"task":[178],"with":[179],"data.":[181],"brief,":[183],"first":[185],"core":[188],"then":[193],"use":[194],"refined":[196],"input":[200],"subsequent":[202],"learning":[203],"Extensive":[205],"evaluations":[206],"real":[208],"dataset":[209],"show":[210],"our":[212],"CIN":[213],"outperform":[216],"state-of-the-art":[218],"terms":[221],"accuracy.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}