{"id":"https://openalex.org/W2905582304","doi":"https://doi.org/10.1109/access.2018.2885399","title":"Research on CTR Prediction Based on Deep Learning","display_name":"Research on CTR Prediction Based on Deep Learning","publication_year":2018,"publication_date":"2018-12-07","ids":{"openalex":"https://openalex.org/W2905582304","doi":"https://doi.org/10.1109/access.2018.2885399","mag":"2905582304"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2885399","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2885399","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08566156.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08566156.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100417789","display_name":"Qianqian Wang","orcid":"https://orcid.org/0000-0002-7839-9707"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianqian Wang","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-7839-9707","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032776934","display_name":"Liu Fang-ai","orcid":"https://orcid.org/0000-0003-4023-3979"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang'ai Liu","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031192302","display_name":"Shuning Xing","orcid":null},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuning Xing","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102008018","display_name":"Xiaohui Zhao","orcid":"https://orcid.org/0000-0003-2636-1982"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Zhao","raw_affiliation_strings":["School of Mathematical Science, Shandong Normal University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-2636-1982","affiliations":[{"raw_affiliation_string":"School of Mathematical Science, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040538385","display_name":"Tianlai Li","orcid":"https://orcid.org/0000-0003-3218-7909"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianlai Li","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I28006308"],"apc_list":{"value":2075,"currency":"USD","value_usd":2075},"apc_paid":{"value":2075,"currency":"USD","value_usd":2075},"fwci":4.4124,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.95467576,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"12779","last_page":"12789"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9873999953269958,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9842000007629395,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8078340291976929},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5813743472099304},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5741686224937439},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5725936889648438},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.560730516910553},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5137253999710083},{"id":"https://openalex.org/keywords/click-through-rate","display_name":"Click-through rate","score":0.5121428966522217},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49936723709106445},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4930984675884247},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.46911102533340454},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46693840622901917},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.46305179595947266},{"id":"https://openalex.org/keywords/online-advertising","display_name":"Online advertising","score":0.4104694128036499},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4102591872215271},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.11410456895828247},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0902465283870697},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07575401663780212}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8078340291976929},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5813743472099304},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5741686224937439},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5725936889648438},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.560730516910553},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5137253999710083},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.5121428966522217},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49936723709106445},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4930984675884247},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.46911102533340454},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46693840622901917},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.46305179595947266},{"id":"https://openalex.org/C512338625","wikidata":"https://www.wikidata.org/wiki/Q624902","display_name":"Online advertising","level":3,"score":0.4104694128036499},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4102591872215271},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.11410456895828247},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0902465283870697},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07575401663780212},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2885399","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2885399","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08566156.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b96626e3a1a3433ba880c36c54d05f24","is_oa":true,"landing_page_url":"https://doaj.org/article/b96626e3a1a3433ba880c36c54d05f24","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 12779-12789 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2885399","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2885399","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08566156.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G1420475947","display_name":null,"funder_award_id":"NGII20170508","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5286019968","display_name":"\u57fa\u4e8e\u591a\u6e90\u6570\u636e\u7684\u5b66\u751f\u9700\u6c42\u53d1\u73b0\u53ca\u4fe1\u606f\u8d44\u6e90\u5b9e\u65f6\u63a8\u8350\u673a\u5236\u7814\u7a76","funder_award_id":"61772321","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G65699858","display_name":null,"funder_award_id":"ZR2016FP07","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G8009429835","display_name":null,"funder_award_id":"2017A15047","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/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2905582304.pdf","grobid_xml":"https://content.openalex.org/works/W2905582304.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1570168312","https://openalex.org/W1857027683","https://openalex.org/W1977556410","https://openalex.org/W1983548143","https://openalex.org/W1985759455","https://openalex.org/W2021866613","https://openalex.org/W2053323136","https://openalex.org/W2074694452","https://openalex.org/W2076618162","https://openalex.org/W2089349245","https://openalex.org/W2090883204","https://openalex.org/W2102409316","https://openalex.org/W2119511382","https://openalex.org/W2131876387","https://openalex.org/W2146502635","https://openalex.org/W2151153134","https://openalex.org/W2162979096","https://openalex.org/W2186584675","https://openalex.org/W2293706247","https://openalex.org/W2295739661","https://openalex.org/W2317976845","https://openalex.org/W2371012911","https://openalex.org/W2443960221","https://openalex.org/W2475334473","https://openalex.org/W2517540742","https://openalex.org/W2517883876","https://openalex.org/W2523437372","https://openalex.org/W2548570154","https://openalex.org/W2585444457","https://openalex.org/W2586835517","https://openalex.org/W2604662567","https://openalex.org/W2607785473","https://openalex.org/W2761694337","https://openalex.org/W2765879045","https://openalex.org/W2802617005","https://openalex.org/W2951001079","https://openalex.org/W4297806428","https://openalex.org/W6644682428","https://openalex.org/W6646992340","https://openalex.org/W6675401909","https://openalex.org/W6681435938","https://openalex.org/W6718631636","https://openalex.org/W6729491321"],"related_works":["https://openalex.org/W3121555120","https://openalex.org/W4286419063","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/W2334894004","https://openalex.org/W2162862818"],"abstract_inverted_index":{"Click-through":[0],"rate":[1],"(CTR)":[2],"prediction":[3,31,126],"is":[4,25,79],"critical":[5],"in":[6,69,131],"Internet":[7,132],"advertising":[8,48,70],"and":[9,14,50,63,89,97,127],"affects":[10],"web":[11],"publisher's":[12],"profits":[13],"advertiser's":[15],"payment.":[16],"In":[17],"the":[18,21,30,45,51,59,66,76,91,102,110,122],"CTR":[19,125],"prediction,":[20],"interaction":[22],"between":[23,55],"features":[24,38,68,78],"a":[26,72],"key":[27],"factor":[28],"affecting":[29],"rate.":[32],"The":[33,115],"traditional":[34],"method":[35,73,82,120],"of":[36,47,61,93,106,124],"obtaining":[37],"using":[39],"feature":[40,112],"extraction":[41],"did":[42],"not":[43],"consider":[44],"sparseness":[46,60],"data":[49,62,107],"highly":[52],"nonlinear":[53,103],"association":[54],"features.":[56],"To":[57],"reduce":[58],"to":[64,100,108],"mine":[65],"hidden":[67],"data,":[71],"that":[74,118],"learns":[75],"sparse":[77,111],"proposed.":[80],"Our":[81],"exploits":[83],"dimension":[84],"reduction":[85],"based":[86],"on":[87],"decomposition":[88],"combines":[90],"power":[92],"field-aware":[94],"factorization":[95],"machines":[96],"deep":[98],"learning":[99,113],"portray":[101],"associated":[104],"relationship":[105],"solve":[109],"problem.":[114],"experiment":[116],"shows":[117],"our":[119],"improves":[121],"effect":[123],"produces":[128],"economic":[129],"benefits":[130],"advertising.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}