{"id":"https://openalex.org/W4406168417","doi":"https://doi.org/10.1093/comjnl/bxae142","title":"Feature refinement and attention enhancement for click-through rate prediction","display_name":"Feature refinement and attention enhancement for click-through rate prediction","publication_year":2025,"publication_date":"2025-01-09","ids":{"openalex":"https://openalex.org/W4406168417","doi":"https://doi.org/10.1093/comjnl/bxae142"},"language":"en","primary_location":{"id":"doi:10.1093/comjnl/bxae142","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxae142","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","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/A5102022320","display_name":"Sumin Li","orcid":"https://orcid.org/0000-0002-6748-0673"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sumin Li","raw_affiliation_strings":["School of Information Engineering , Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081,","School of Information Engineering, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering , Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081,","institution_ids":["https://openalex.org/I145897649"]},{"raw_affiliation_string":"School of Information Engineering, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112125359","display_name":"Zhen Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Xie","raw_affiliation_strings":["School of Information Engineering , Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081,","School of Information Engineering, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering , Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081,","institution_ids":["https://openalex.org/I145897649"]},{"raw_affiliation_string":"School of Information Engineering, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032029740","display_name":"Xiuqin Pan","orcid":"https://orcid.org/0000-0002-0630-7914"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuqin Pan","raw_affiliation_strings":["School of Information Engineering , Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081,","School of Information Engineering, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering , Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081,","institution_ids":["https://openalex.org/I145897649"]},{"raw_affiliation_string":"School of Information Engineering, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China","institution_ids":["https://openalex.org/I145897649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102022320"],"corresponding_institution_ids":["https://openalex.org/I145897649"],"apc_list":{"value":2635,"currency":"GBP","value_usd":3232},"apc_paid":null,"fwci":6.9443,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.95183936,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"68","issue":"6","first_page":"697","last_page":"705"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.996399998664856,"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":0.996399998664856,"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":0.993399977684021,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9905999898910522,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7316660284996033},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.688973605632782},{"id":"https://openalex.org/keywords/click-through-rate","display_name":"Click-through rate","score":0.5592164397239685},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.430400550365448},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40264302492141724},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.15693169832229614}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7316660284996033},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.688973605632782},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.5592164397239685},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.430400550365448},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40264302492141724},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.15693169832229614},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/comjnl/bxae142","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxae142","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2295739661","https://openalex.org/W2475334473","https://openalex.org/W2512971201","https://openalex.org/W2608239929","https://openalex.org/W2740885325","https://openalex.org/W2793768763","https://openalex.org/W2911760887","https://openalex.org/W2946044191","https://openalex.org/W2964182926","https://openalex.org/W2998207486","https://openalex.org/W3093945404","https://openalex.org/W3098024612","https://openalex.org/W3104030692","https://openalex.org/W3104789011","https://openalex.org/W3153687269","https://openalex.org/W4293730919","https://openalex.org/W4385245566","https://openalex.org/W4403361698","https://openalex.org/W6736052557","https://openalex.org/W6739901393","https://openalex.org/W6741640790","https://openalex.org/W6766707323","https://openalex.org/W6779612136","https://openalex.org/W6791492411","https://openalex.org/W6810715163","https://openalex.org/W6842354089","https://openalex.org/W6854689486","https://openalex.org/W6857794214","https://openalex.org/W6891748289"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W3164948662","https://openalex.org/W3105157121","https://openalex.org/W3104067163","https://openalex.org/W3153597579","https://openalex.org/W4382049132","https://openalex.org/W3159661535"],"abstract_inverted_index":{"Abstract":[0],"Click-through":[1],"rate":[2],"(CTR)":[3],"prediction":[4,22,69],"has":[5,145],"become":[6],"a":[7,55,67,116,146],"crucial":[8],"task":[9],"in":[10,50],"online":[11],"advertising":[12],"and":[13,38,53,81,139],"other":[14,151],"fields.":[15],"Many":[16],"researchers":[17],"focus":[18],"on":[19,76,135],"improving":[20],"CTR":[21,68,153],"models":[23],"by":[24,100],"exploring":[25],"feature":[26,40,48,60,78,98,111],"interactions.":[27,61],"One":[28],"popular":[29],"model,":[30],"Deep":[31],"Factorization":[32],"Machine":[33],"(DeepFM),":[34],"addresses":[35],"both":[36],"high-order":[37,59],"low-order":[39],"interactions,":[41],"but":[42],"it":[43],"overlooks":[44],"the":[45,97,124,140],"variability":[46],"of":[47,58],"representation":[49],"different":[51],"contexts":[52],"lacks":[54],"comprehensive":[56],"explanation":[57],"In":[62],"this":[63],"paper,":[64],"we":[65,86,114],"propose":[66],"model":[70],"called":[71],"DeepFM-GA,":[72],"which":[73,95],"is":[74],"based":[75],"improved":[77],"refinement":[79],"generation":[80,91],"attention":[82,89],"enhancement":[83],"representation.":[84,112],"Firstly,":[85],"incorporate":[87],"an":[88],"convolutional":[90,105],"module":[92],"into":[93],"$\\text{DeepFM}_{\\text{FRNet}}$,":[94],"enriches":[96],"space":[99],"generating":[101],"complementary":[102],"features":[103],"through":[104],"neural":[106],"networks":[107],"while":[108],"maintaining":[109],"context-aware":[110],"Secondly,":[113],"utilize":[115],"multi-head":[117],"self-attention":[118],"layer":[119],"for":[120],"feature-enhanced":[121],"representation,":[122],"enhancing":[123],"model\u2019s":[125],"ability":[126],"to":[127,150],"select":[128],"important":[129],"features.":[130],"Finally,":[131],"experiments":[132],"are":[133],"conducted":[134],"four":[136],"real-world":[137],"datasets,":[138],"results":[141],"show":[142],"that":[143],"DeepFM-GA":[144],"better":[147],"performance":[148],"compared":[149],"mainstream":[152],"models.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
