{"id":"https://openalex.org/W2968412684","doi":"https://doi.org/10.1109/cec.2019.8790333","title":"PSO-based CNN for Keyword Selection on Google Ads","display_name":"PSO-based CNN for Keyword Selection on Google Ads","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2968412684","doi":"https://doi.org/10.1109/cec.2019.8790333","mag":"2968412684"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2019.8790333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8790333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-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/A5100676081","display_name":"Jing Liang","orcid":"https://orcid.org/0000-0003-0811-0223"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"J. J. Liang","raw_affiliation_strings":["School of Electrical Engineering, Zhengzhou University, Zhengzhou, 450001, China","School of Electrical Engineering, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Zhengzhou University, Zhengzhou, 450001, China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Electrical Engineering, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043457491","display_name":"Hongfei Yang","orcid":"https://orcid.org/0009-0003-6429-9013"},"institutions":[{"id":"https://openalex.org/I4210163873","display_name":"Zhengzhou University of Industrial Technology","ror":"https://ror.org/05es8as59","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163873"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"H. T. Yang","raw_affiliation_strings":["School of Industrial Technology Research Institute, Zhengzhou University, Zhengzhou, 450001, China","School of Industrial Technology Research Institute, Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Industrial Technology Research Institute, Zhengzhou University, Zhengzhou, 450001, China","institution_ids":["https://openalex.org/I4210163873"]},{"raw_affiliation_string":"School of Industrial Technology Research Institute, Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I4210163873"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009416402","display_name":"Wenxin Sun","orcid":"https://orcid.org/0000-0001-8052-4960"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"W. T. Sun","raw_affiliation_strings":["K Wizdom Pte Ltd, 199591, Singapore","K Wizdom Pte Ltd, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"K Wizdom Pte Ltd, 199591, Singapore","institution_ids":[]},{"raw_affiliation_string":"K Wizdom Pte Ltd, Singapore","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037715754","display_name":"Jing Gao","orcid":"https://orcid.org/0000-0002-7295-6509"},"institutions":[{"id":"https://openalex.org/I7726996","display_name":"Henan University of Economic and Law","ror":"https://ror.org/000jtc944","country_code":"CN","type":"education","lineage":["https://openalex.org/I7726996"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"J. J. Gao","raw_affiliation_strings":["Henan University of Economics and Law, Zhengzhou, 450001, China","Henan University of Economics and Law, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan University of Economics and Law, Zhengzhou, 450001, China","institution_ids":["https://openalex.org/I7726996"]},{"raw_affiliation_string":"Henan University of Economics and Law, Zhengzhou, China","institution_ids":["https://openalex.org/I7726996"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13139857,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"562","last_page":"569"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9890000224113464,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9765999913215637,"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":0.8351160287857056},{"id":"https://openalex.org/keywords/bidding","display_name":"Bidding","score":0.686337411403656},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6600538492202759},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.5242595672607422},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5007827281951904},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4966593384742737},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4392396807670593},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4275096654891968},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.42416274547576904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41968512535095215}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8351160287857056},{"id":"https://openalex.org/C9233905","wikidata":"https://www.wikidata.org/wiki/Q3276328","display_name":"Bidding","level":2,"score":0.686337411403656},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6600538492202759},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.5242595672607422},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5007827281951904},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4966593384742737},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4392396807670593},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4275096654891968},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.42416274547576904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41968512535095215},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2019.8790333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8790333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W1971840500","https://openalex.org/W2061495585","https://openalex.org/W2087240369","https://openalex.org/W2091007025","https://openalex.org/W2097521902","https://openalex.org/W2118585731","https://openalex.org/W2132791018","https://openalex.org/W2148143831","https://openalex.org/W2153579005","https://openalex.org/W2163605009","https://openalex.org/W2250539671","https://openalex.org/W2251103205","https://openalex.org/W2276263724","https://openalex.org/W2333269343","https://openalex.org/W2338318698","https://openalex.org/W2402846924","https://openalex.org/W2536583325","https://openalex.org/W2775524044","https://openalex.org/W2789515102","https://openalex.org/W2802087177","https://openalex.org/W2807072443","https://openalex.org/W2807617370","https://openalex.org/W2822065499","https://openalex.org/W2836242602","https://openalex.org/W2883885453","https://openalex.org/W2892137778","https://openalex.org/W2900279036","https://openalex.org/W2906258332","https://openalex.org/W2951418056","https://openalex.org/W4294170691","https://openalex.org/W4300106150","https://openalex.org/W6677656871","https://openalex.org/W6682642761","https://openalex.org/W6682691769","https://openalex.org/W6684191040","https://openalex.org/W6694604609","https://openalex.org/W6746996614","https://openalex.org/W6752855107","https://openalex.org/W6757899024"],"related_works":["https://openalex.org/W947140380","https://openalex.org/W4286432911","https://openalex.org/W4230884544","https://openalex.org/W4245453790","https://openalex.org/W3194985222","https://openalex.org/W3216571906","https://openalex.org/W4214830338","https://openalex.org/W2518587255","https://openalex.org/W4287599800","https://openalex.org/W4385432812"],"abstract_inverted_index":{"Google":[0],"Ads":[1],"is":[2,83,180],"a":[3,43,73],"Google's":[4,21],"advertising":[5,38,188,195],"system":[6],"for":[7,46],"advertisers":[8],"bid":[9],"on":[10],"keywords":[11,29,57],"in":[12,20,58,78,194],"order":[13],"to":[14,66,116,125,133,144,152,161,184],"have":[15],"their":[16],"clickable":[17],"ads":[18],"appear":[19],"search":[22],"results.":[23],"The":[24],"quality":[25],"of":[26,55,75,95,137,181,187],"the":[27,33,53,56,79,84,93,96,108,127,130,135,154,171,185,192],"selected":[28],"can":[30],"directly":[31],"affect":[32],"advertiser's":[34],"bidding":[35],"cost":[36,67,190],"and":[37,89,111,157,191],"effectiveness.":[39],"However,":[40],"there":[41,70,82],"are":[42,114,167,175],"few":[44],"challenges":[45],"keyword":[47,98,172],"selection,":[48],"as":[49],"listed":[50],"below.":[51],"First,":[52],"number":[54],"an":[59],"ad":[60],"cannot":[61,101],"be":[62,72],"too":[63],"big":[64],"due":[65],"constraints.":[68],"Second,":[69],"could":[71],"mixture":[74],"different":[76,141],"language":[77],"keywords.":[80,91],"Third,":[81],"imbalance":[85,148],"issue":[86],"between":[87],"`good'":[88],"`bad'":[90],"Fourth,":[92],"effect":[94],"typical":[97],"classification":[99,163],"approach":[100],"produce":[102],"satisfactory":[103],"result.":[104],"In":[105],"this":[106],"study,":[107],"evolutionary":[109],"algorithm":[110],"deep":[112],"learning":[113],"combined":[115],"deal":[117,145],"with":[118,140,146],"these":[119,165],"challenges.":[120],"By":[121],"using":[122,150],"word":[123],"embedding":[124],"represent":[126],"keywords,":[128],"choosing":[129],"appropriate":[131],"corpus":[132],"handle":[134],"problem":[136],"mixed":[138],"text":[139],"languages,":[142],"re-sampling":[143],"data":[147],"problem,":[149],"PSO":[151],"optimize":[153],"CNN":[155],"structure":[156],"adding":[158],"keyword-related":[159],"features":[160],"improve":[162],"effect,":[164],"difficulties":[166],"cleverly":[168],"overcome.":[169],"Finally,":[170],"selection":[173],"problems":[174],"successfully":[176],"solved.":[177],"This":[178],"study":[179],"great":[182],"significance":[183],"reduction":[186],"investment":[189],"increase":[193],"efficiency.":[196]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}