{"id":"https://openalex.org/W4387846680","doi":"https://doi.org/10.1145/3583780.3615471","title":"Dynamic Group Parameter Modeling for Click-Through-Rate Prediction","display_name":"Dynamic Group Parameter Modeling for Click-Through-Rate Prediction","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387846680","doi":"https://doi.org/10.1145/3583780.3615471"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3615471","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102019358","display_name":"Xuan Ma","orcid":"https://orcid.org/0000-0003-4598-9505"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Ma","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4598-9505","affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003846738","display_name":"J. Wang","orcid":"https://orcid.org/0009-0009-7917-8509"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wang","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0009-7917-8509","affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102864444","display_name":"Zhiyuan Chen","orcid":"https://orcid.org/0009-0008-6419-8294"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyuan Chen","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0008-6419-8294","affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113220723","display_name":"Zehua Zhang","orcid":"https://orcid.org/0000-0003-4784-8095"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zehua Zhang","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4784-8095","affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049875848","display_name":"Jie He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie He","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-6393-6657","affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070986387","display_name":"Changping Peng","orcid":"https://orcid.org/0009-0002-2561-1919"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changping Peng","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-2561-1919","affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009831083","display_name":"Zhangang Lin","orcid":"https://orcid.org/0000-0003-1379-5044"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangang Lin","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1379-5044","affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001629337","display_name":"Jingping Shao","orcid":"https://orcid.org/0000-0001-8555-2020"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingping Shao","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8555-2020","affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210103986"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4731","last_page":"4737"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9955000281333923,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision 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":0.7469812631607056},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.6598543524742126},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5627326965332031},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.5573070049285889},{"id":"https://openalex.org/keywords/click-through-rate","display_name":"Click-through rate","score":0.5544044971466064},{"id":"https://openalex.org/keywords/division","display_name":"Division (mathematics)","score":0.5352213382720947},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4798804819583893},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4770718812942505},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4495408535003662},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.4280218482017517},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.42588990926742554},{"id":"https://openalex.org/keywords/user-group","display_name":"User group","score":0.41509148478507996},{"id":"https://openalex.org/keywords/online-advertising","display_name":"Online advertising","score":0.415050745010376},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.30377840995788574},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.18860170245170593},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16421020030975342},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.12584123015403748},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09032890200614929}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7469812631607056},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.6598543524742126},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5627326965332031},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.5573070049285889},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.5544044971466064},{"id":"https://openalex.org/C60798267","wikidata":"https://www.wikidata.org/wiki/Q1226939","display_name":"Division (mathematics)","level":2,"score":0.5352213382720947},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4798804819583893},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4770718812942505},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4495408535003662},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.4280218482017517},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.42588990926742554},{"id":"https://openalex.org/C3017738328","wikidata":"https://www.wikidata.org/wiki/Q613366","display_name":"User group","level":2,"score":0.41509148478507996},{"id":"https://openalex.org/C512338625","wikidata":"https://www.wikidata.org/wiki/Q624902","display_name":"Online advertising","level":3,"score":0.415050745010376},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.30377840995788574},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.18860170245170593},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16421020030975342},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.12584123015403748},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09032890200614929},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583780.3615471","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2548570154","https://openalex.org/W2723293840","https://openalex.org/W2752782242","https://openalex.org/W2783944588","https://openalex.org/W2809290718","https://openalex.org/W2945772520","https://openalex.org/W2946044191","https://openalex.org/W2962745591","https://openalex.org/W2963877604","https://openalex.org/W2964182926","https://openalex.org/W3081320135","https://openalex.org/W3087931390","https://openalex.org/W3093519337","https://openalex.org/W3093945404","https://openalex.org/W3104789011","https://openalex.org/W3106252282","https://openalex.org/W3153687269","https://openalex.org/W3209943551","https://openalex.org/W4224310918","https://openalex.org/W4224314818"],"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/W3120879483","https://openalex.org/W2334894004"],"abstract_inverted_index":{"It":[0],"is":[1],"noted":[2],"that":[3,41],"Click-Through-Rate(CTR)":[4],"prediction":[5,32],"plays":[6],"an":[7,108,167],"important":[8],"part":[9],"in":[10,107,166,175],"recommendation":[11],"systems":[12],"and":[13,68,100,110,127,147,150,171,178],"online":[14,168],"advertising.":[15],"Over":[16],"the":[17,28,77,96,133,151,155,164],"past":[18],"few":[19],"years,":[20],"numerous":[21],"studies":[22,39],"have":[23,161],"been":[24],"conducted":[25],"to":[26,54],"improve":[27],"accuracy":[29],"of":[30,79,120,136,157],"CTR":[31,43,177],"by":[33],"exploring":[34],"data":[35,50],"inherent":[36],"patterns.":[37],"These":[38],"indicate":[40],"training":[42],"models":[44],"with":[45,64],"group-specific":[46],"parameters":[47],"on":[48,143],"divided":[49],"groups":[51,62],"can":[52],"lead":[53],"significant":[55,173],"improvements.":[56],"However,":[57],"most":[58],"works":[59],"generally":[60],"divide":[61],"manually":[63],"some":[65],"prior":[66],"knowledge,":[67],"such":[69],"a":[70,89,116],"fixed":[71],"group":[72,91,98,101,121,124,128],"division":[73,99],"method":[74,114],"may":[75],"hinder":[76],"expression":[78,135],"user":[80,97,137],"common":[81,138],"interests.":[82,139],"To":[83],"address":[84],"this":[85],"limitation,":[86],"we":[87],"propose":[88],"novel":[90],"parameter":[92,102,129],"modeling":[93],"method,":[94],"where":[95],"learning":[103],"processes":[104],"are":[105],"completed":[106],"automatic":[109],"dynamic":[111],"way.":[112],"Our":[113],"employs":[115],"three-stage":[117],"approach,":[118],"consisting":[119],"information":[122],"selection,":[123],"representation":[125],"learning,":[126],"generation,":[130],"which":[131],"allows":[132],"efficient":[134],"We":[140,160],"conduct":[141],"experiments":[142],"both":[144,176],"public":[145],"datasets":[146],"industrial":[148],"datasets,":[149],"experimental":[152],"results":[153],"demonstrate":[154],"effectiveness":[156],"our":[158],"method.":[159],"also":[162],"deployed":[163],"model":[165],"advertising":[169],"system":[170],"observed":[172],"improvements":[174],"Revenue":[179],"Per":[180],"Mille":[181],"(RPM).":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}