{"id":"https://openalex.org/W2765879045","doi":"https://doi.org/10.1155/2017/7259762","title":"A New Approach for Mobile Advertising Click-Through Rate Estimation Based on Deep Belief Nets","display_name":"A New Approach for Mobile Advertising Click-Through Rate Estimation Based on Deep Belief Nets","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2765879045","doi":"https://doi.org/10.1155/2017/7259762","mag":"2765879045","pmid":"https://pubmed.ncbi.nlm.nih.gov/29209363"},"language":"en","primary_location":{"id":"doi:10.1155/2017/7259762","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/7259762","pdf_url":"http://downloads.hindawi.com/journals/cin/2017/7259762.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://downloads.hindawi.com/journals/cin/2017/7259762.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058773557","display_name":"Jiehao Chen","orcid":"https://orcid.org/0000-0002-2077-1908"},"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":true,"raw_author_name":"Jie-Hao Chen","raw_affiliation_strings":["School of Software, Beijing Institute of Technology, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100570207","display_name":"Ziqian Zhao","orcid":null},"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":"Zi-Qian Zhao","raw_affiliation_strings":["School of Software, Beijing Institute of Technology, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100991857","display_name":"Jiyun Shi","orcid":null},"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":"Ji-Yun Shi","raw_affiliation_strings":["School of Software, Beijing Institute of Technology, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076987947","display_name":"Chong Zhao","orcid":"https://orcid.org/0000-0002-9655-6454"},"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":"Chong Zhao","raw_affiliation_strings":["School of Software, Beijing Institute of Technology, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Beijing Institute of Technology, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058773557"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.9249,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.8431619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2017","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9690999984741211,"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"}},"topics":[{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9690999984741211,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9577999711036682,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9305999875068665,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8141571879386902},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6383638381958008},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6149399280548096},{"id":"https://openalex.org/keywords/simplicity","display_name":"Simplicity","score":0.5960529446601868},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5784916877746582},{"id":"https://openalex.org/keywords/click-through-rate","display_name":"Click-through rate","score":0.5344082117080688},{"id":"https://openalex.org/keywords/online-advertising","display_name":"Online advertising","score":0.5185816287994385},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4868549704551697},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4863915741443634},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4823684096336365},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.47620972990989685},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47305527329444885},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41433894634246826},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4126429557800293},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.19977471232414246},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11386853456497192},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.085214763879776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8141571879386902},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6383638381958008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6149399280548096},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.5960529446601868},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5784916877746582},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.5344082117080688},{"id":"https://openalex.org/C512338625","wikidata":"https://www.wikidata.org/wiki/Q624902","display_name":"Online advertising","level":3,"score":0.5185816287994385},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4868549704551697},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4863915741443634},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4823684096336365},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.47620972990989685},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47305527329444885},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41433894634246826},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4126429557800293},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.19977471232414246},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11386853456497192},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.085214763879776},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000329","descriptor_name":"Advertising","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000329","descriptor_name":"Advertising","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000329","descriptor_name":"Advertising","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001519","descriptor_name":"Behavior","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001519","descriptor_name":"Behavior","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001519","descriptor_name":"Behavior","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013269","descriptor_name":"Stochastic Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013269","descriptor_name":"Stochastic Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013269","descriptor_name":"Stochastic Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019540","descriptor_name":"Area Under Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D063731","descriptor_name":"Mobile Applications","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D063731","descriptor_name":"Mobile Applications","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D063731","descriptor_name":"Mobile Applications","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1155/2017/7259762","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/7259762","pdf_url":"http://downloads.hindawi.com/journals/cin/2017/7259762.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},{"id":"pmid:29209363","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29209363","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational intelligence and neuroscience","raw_type":null},{"id":"pmh:oai:doaj.org/article:501e75b2b8d7470cb1ed178d7142f48d","is_oa":true,"landing_page_url":"https://doaj.org/article/501e75b2b8d7470cb1ed178d7142f48d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Intelligence and Neuroscience, Vol 2017 (2017)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:4628221","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5676483","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2017/7259762","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2017/7259762","pdf_url":"http://downloads.hindawi.com/journals/cin/2017/7259762.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2765879045.pdf","grobid_xml":"https://content.openalex.org/works/W2765879045.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W2007584825","https://openalex.org/W2026430219","https://openalex.org/W2045993028","https://openalex.org/W2071709160","https://openalex.org/W2136922672"],"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":{"In":[0,97],"recent":[1],"years,":[2],"with":[3,135,150],"the":[4,27,41,45,56,62,85,91,115,123,136,147,151,177],"rapid":[5],"development":[6],"of":[7,29,58,66,78,117,131,138,140,153,162],"mobile":[8,14,118,157],"Internet":[9],"and":[10,51,64,88,127,185],"its":[11],"business":[12],"applications,":[13],"advertising":[15],"Click-Through":[16],"Rate":[17],"(CTR)":[18],"estimation":[19,57,174],"has":[20,172],"become":[21],"a":[22,105,160],"hot":[23],"research":[24,54],"direction":[25],"in":[26,44],"field":[28],"computational":[30],"advertising,":[31,119],"which":[32,120],"is":[33],"used":[34],"to":[35,83,99,113],"achieve":[36],"accurate":[37],"advertisement":[38],"delivery":[39],"for":[40],"best":[42],"benefits":[43],"three-side":[46],"game":[47],"between":[48,94],"media,":[49],"advertisers,":[50],"audiences.":[52],"Current":[53],"on":[55,109,146],"CTR":[59,116],"mainly":[60],"uses":[61],"methods":[63,80],"models":[65],"machine":[67],"learning,":[68],"such":[69],"as":[70],"linear":[71],"model":[72,107,171,182,190],"or":[73],"recommendation":[74],"algorithms.":[75],"However,":[76],"most":[77],"these":[79,101],"are":[81],"insufficient":[82],"extract":[84],"data":[86,125],"features":[87],"cannot":[89],"reflect":[90],"nonlinear":[92],"relationship":[93],"different":[95],"features.":[96],"order":[98],"solve":[100],"problems,":[102],"we":[103],"propose":[104],"new":[106,170],"based":[108],"Deep":[110,132],"Belief":[111,133],"Nets":[112],"predict":[114],"combines":[121],"together":[122],"powerful":[124],"representation":[126],"feature":[128],"extraction":[129],"capability":[130],"Nets,":[134],"advantage":[137],"simplicity":[139],"traditional":[141],"Logistic":[142,179],"Regression":[143,180,188],"models.":[144],"Based":[145],"training":[148],"dataset":[149],"information":[152],"over":[154],"40":[155],"million":[156],"advertisements":[158],"during":[159],"period":[161],"10":[163],"days,":[164],"our":[165,169],"experiments":[166],"show":[167],"that":[168],"better":[173],"accuracy":[175],"than":[176],"classic":[178],"(LR)":[181],"by":[183,191],"5.57%":[184],"Support":[186],"Vector":[187],"(SVR)":[189],"5.80%.":[192]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}