{"id":"https://openalex.org/W4386503570","doi":"https://doi.org/10.1145/3587716.3587812","title":"Enhanced Feature Importance Learning for the Click-Through Rate Prediction","display_name":"Enhanced Feature Importance Learning for the Click-Through Rate Prediction","publication_year":2023,"publication_date":"2023-02-17","ids":{"openalex":"https://openalex.org/W4386503570","doi":"https://doi.org/10.1145/3587716.3587812"},"language":"en","primary_location":{"id":"doi:10.1145/3587716.3587812","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3587716.3587812","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 15th International Conference on Machine Learning and Computing","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/A5078950611","display_name":"Hongbin Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongbin Sun","raw_affiliation_strings":["University of Electronic Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0009-0006-0585-3346","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024214644","display_name":"Wei Zeng","orcid":"https://orcid.org/0000-0002-3111-9579"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zeng","raw_affiliation_strings":["University of Electronic Science and Technology of China, China"],"raw_orcid":"https://orcid.org/0000-0002-3111-9579","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078950611"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19372639,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"584","last_page":"588"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9962999820709229,"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":0.9962999820709229,"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":0.9958000183105469,"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":0.9842000007629395,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7244124412536621},{"id":"https://openalex.org/keywords/click-through-rate","display_name":"Click-through rate","score":0.6450676918029785},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6178590059280396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48996272683143616},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38199329376220703},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.13027217984199524}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7244124412536621},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.6450676918029785},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6178590059280396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48996272683143616},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38199329376220703},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.13027217984199524},{"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:10.1145/3587716.3587812","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3587716.3587812","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 15th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2090883204","https://openalex.org/W2295739661","https://openalex.org/W2475334473","https://openalex.org/W2512971201","https://openalex.org/W2604662567","https://openalex.org/W2793768763","https://openalex.org/W2810631159","https://openalex.org/W2892896937","https://openalex.org/W2898085636","https://openalex.org/W2946044191","https://openalex.org/W2963924287","https://openalex.org/W2997130580","https://openalex.org/W3081362488","https://openalex.org/W3096591391","https://openalex.org/W3101704389","https://openalex.org/W3104030692","https://openalex.org/W3104789011","https://openalex.org/W3117684406","https://openalex.org/W3190524507"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4205958290","https://openalex.org/W4386462264"],"abstract_inverted_index":{"The":[0],"prediction":[1],"of":[2,18,30,48,87,99,113,119,133],"click-through":[3],"rate":[4],"(CTR)":[5],"is":[6,38],"critical":[7],"in":[8,116],"the":[9,16,19,23,27,41,51,64,75,84,88,92,97,117,131,136],"recommender":[10,35],"system,":[11,53],"which":[12,80],"aims":[13],"to":[14,73,95],"predict":[15],"probability":[17],"user":[20],"clicking":[21],"on":[22,125,135],"recommended":[24],"item.":[25],"Considering":[26],"increasing":[28],"number":[29],"features":[31],"used":[32],"by":[33,45],"modern":[34],"systems,":[36],"it":[37],"worth":[39],"learning":[40,61],"feature":[42,70,77,89],"importance.":[43],"Inspired":[44],"FiBiNet\u2019s":[46],"introduction":[47],"SENet":[49],"into":[50],"recommendation":[52],"we":[54,129],"propose":[55],"an":[56],"Enhanced":[57],"Feature":[58],"Importance":[59],"(EFI)":[60],"framework":[62],"for":[63],"embedding":[65,78],"layer.":[66],"EFI":[67,102,134],"uses":[68,103],"two":[69,126],"importance":[71,98],"vectors":[72],"reweight":[74],"original":[76],"vector,":[79],"can":[81,108],"better":[82],"describe":[83],"unique":[85],"expression":[86],"and":[90,107],"improve":[91],"model\u2019s":[93],"ability":[94],"learn":[96],"features.":[100],"Besides,":[101],"end-to-end":[104],"training":[105],"methods":[106],"be":[109],"a":[110],"common":[111],"part":[112],"most":[114],"models":[115],"task":[118],"CTR":[120],"prediction.":[121],"With":[122],"extensive":[123],"experiments":[124],"public":[127],"datasets,":[128],"verified":[130],"validity":[132],"state-of-the-art":[137],"models.":[138]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}