{"id":"https://openalex.org/W4312858120","doi":"https://doi.org/10.1145/3569966.3570011","title":"Click-through rate prediction model based on LightGBM and DeepFM","display_name":"Click-through rate prediction model based on LightGBM and DeepFM","publication_year":2022,"publication_date":"2022-10-21","ids":{"openalex":"https://openalex.org/W4312858120","doi":"https://doi.org/10.1145/3569966.3570011"},"language":"en","primary_location":{"id":"doi:10.1145/3569966.3570011","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3569966.3570011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","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/A5084783916","display_name":"Qinghou Qi","orcid":"https://orcid.org/0000-0003-0735-4330"},"institutions":[{"id":"https://openalex.org/I15823474","display_name":"Linyi University","ror":"https://ror.org/01knv0402","country_code":"CN","type":"education","lineage":["https://openalex.org/I15823474"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qinghou Qi","raw_affiliation_strings":["School of information science and engineering, Linyi University, China"],"affiliations":[{"raw_affiliation_string":"School of information science and engineering, Linyi University, China","institution_ids":["https://openalex.org/I15823474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013190181","display_name":"Bin Zhao","orcid":"https://orcid.org/0000-0002-9638-2634"},"institutions":[{"id":"https://openalex.org/I15823474","display_name":"Linyi University","ror":"https://ror.org/01knv0402","country_code":"CN","type":"education","lineage":["https://openalex.org/I15823474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Zhao","raw_affiliation_strings":["School of information science and engineering, Linyi University, China"],"affiliations":[{"raw_affiliation_string":"School of information science and engineering, Linyi University, China","institution_ids":["https://openalex.org/I15823474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082021344","display_name":"Wenyin Zhang","orcid":"https://orcid.org/0000-0002-0370-448X"},"institutions":[{"id":"https://openalex.org/I15823474","display_name":"Linyi University","ror":"https://ror.org/01knv0402","country_code":"CN","type":"education","lineage":["https://openalex.org/I15823474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyin Zhang","raw_affiliation_strings":["School of information science and engineering, Linyi University, China"],"affiliations":[{"raw_affiliation_string":"School of information science and engineering, Linyi University, China","institution_ids":["https://openalex.org/I15823474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078518663","display_name":"Yilong Gao","orcid":"https://orcid.org/0000-0002-4269-5256"},"institutions":[{"id":"https://openalex.org/I15823474","display_name":"Linyi University","ror":"https://ror.org/01knv0402","country_code":"CN","type":"education","lineage":["https://openalex.org/I15823474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilong Gao","raw_affiliation_strings":["School of information science and engineering, Linyi University, China"],"affiliations":[{"raw_affiliation_string":"School of information science and engineering, Linyi University, China","institution_ids":["https://openalex.org/I15823474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084783916"],"corresponding_institution_ids":["https://openalex.org/I15823474"],"apc_list":null,"apc_paid":null,"fwci":2.7321,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.92091867,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"148","last_page":"151"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9898999929428101,"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"}},"topics":[{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9898999929428101,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9812999963760376,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9300000071525574,"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":0.7259037494659424},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6813177466392517},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6362528800964355},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5252727270126343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5201447606086731},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.500145673751831},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.49380216002464294},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4758056104183197},{"id":"https://openalex.org/keywords/integer","display_name":"Integer (computer science)","score":0.4714955687522888},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4543236792087555},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44614332914352417},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4375265836715698},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1516919732093811}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7259037494659424},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6813177466392517},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6362528800964355},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5252727270126343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5201447606086731},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.500145673751831},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.49380216002464294},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4758056104183197},{"id":"https://openalex.org/C97137487","wikidata":"https://www.wikidata.org/wiki/Q729138","display_name":"Integer (computer science)","level":2,"score":0.4714955687522888},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4543236792087555},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44614332914352417},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4375265836715698},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1516919732093811},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3569966.3570011","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3569966.3570011","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Computer Science and Software Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6802860924","display_name":null,"funder_award_id":"ZR2020MF029","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2531563875","https://openalex.org/W2899849645","https://openalex.org/W3112027083"],"related_works":["https://openalex.org/W2052299349","https://openalex.org/W1901944325","https://openalex.org/W4297728441","https://openalex.org/W2187824534","https://openalex.org/W2148720069","https://openalex.org/W2794524342","https://openalex.org/W2999797892","https://openalex.org/W2387965307","https://openalex.org/W2766088533","https://openalex.org/W1549786418"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,36,52,64,67,77,89,95,99,105,108,113,122,130,135,140],"problems":[3],"of":[4,38,107,116],"information":[5],"overload":[6],"and":[7,22,40,60,118,134],"insufficient":[8],"personalized":[9],"service":[10],"in":[11,66],"multi-service":[12,26],"system,":[13],"a":[14],"click-through":[15],"rate":[16],"prediction":[17,85],"model":[18,32,53,110,126,142],"based":[19,34],"on":[20,35,63,129],"LightGBM":[21,39,44,83],"DeepFM":[23,41,109],"(LGDF)":[24],"for":[25],"systems":[27],"is":[28,33,49,86,102,127],"proposed.":[29],"The":[30,124],"LGDF":[31,143],"framework":[37],"model.":[42],"Firstly,":[43],"gradient":[45],"lifting":[46],"decision":[47],"tree":[48,84],"added":[50],"to":[51,54,70,93,111],"perform":[55],"high-order":[56,117],"combination":[57,114],"feature":[58],"transformation":[59],"fusion":[61],"extraction":[62],"features":[65,120],"original":[68,90],"dataset":[69,101,132],"obtain":[71],"effective":[72],"integer":[73,78],"result":[74,79],"vectors.":[75],"Then,":[76],"vector":[80],"generated":[81],"by":[82],"spliced":[87],"with":[88],"data":[91],"set":[92],"form":[94],"new":[96,100],"dataset.":[97],"Finally,":[98],"used":[103],"as":[104],"input":[106],"learn":[112],"relationship":[115],"low-order":[119],"between":[121],"data.":[123],"proposed":[125,141],"verified":[128],"public":[131],"Criteo,":[133],"experimental":[136],"results":[137],"show":[138],"that":[139],"has":[144],"higher":[145],"accuracy":[146],"than":[147],"other":[148],"classical":[149],"models.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}