{"id":"https://openalex.org/W4224310918","doi":"https://doi.org/10.1145/3485447.3512048","title":"Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework","display_name":"Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4224310918","doi":"https://doi.org/10.1145/3485447.3512048"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3485447.3512048","pdf_url":null,"source":{"id":"https://openalex.org/S4363608783","display_name":"Proceedings of the ACM Web Conference 2022","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2201.10980","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102820214","display_name":"Xiaoxiao Xu","orcid":"https://orcid.org/0009-0007-5493-5628"},"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":"Xiaoxiao Xu","raw_affiliation_strings":["Business Growth BU, JD.com, China"],"affiliations":[{"raw_affiliation_string":"Business Growth BU, JD.com, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057602729","display_name":"Chen Yang","orcid":"https://orcid.org/0000-0001-5738-9641"},"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":"Chen Yang","raw_affiliation_strings":["Business Growth BU, JD.com, China"],"affiliations":[{"raw_affiliation_string":"Business Growth BU, JD.com, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047057551","display_name":"Qian Yu","orcid":"https://orcid.org/0009-0002-3311-0575"},"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":"Qian Yu","raw_affiliation_strings":["Business Growth BU, JD.com, China"],"affiliations":[{"raw_affiliation_string":"Business Growth BU, JD.com, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060486749","display_name":"Z. Fang","orcid":"https://orcid.org/0000-0001-5540-1010"},"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":"Zhiwei Fang","raw_affiliation_strings":["Business Growth BU, JD.com, China"],"affiliations":[{"raw_affiliation_string":"Business Growth BU, JD.com, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100717654","display_name":"Jiaxing Wang","orcid":"https://orcid.org/0000-0002-7672-6911"},"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":"Jiaxing Wang","raw_affiliation_strings":["Business Growth BU, JD.com, China"],"affiliations":[{"raw_affiliation_string":"Business Growth BU, JD.com, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033427070","display_name":"Chaosheng Fan","orcid":"https://orcid.org/0009-0002-9303-819X"},"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":"Chaosheng Fan","raw_affiliation_strings":["Business Growth BU, JD.com, China"],"affiliations":[{"raw_affiliation_string":"Business Growth BU, JD.com, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021662942","display_name":"Yang He","orcid":"https://orcid.org/0000-0002-2257-6073"},"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":"Yang He","raw_affiliation_strings":["Business Growth BU, JD.com, China"],"affiliations":[{"raw_affiliation_string":"Business Growth BU, JD.com, 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":["Business Growth BU, JD.com, China"],"affiliations":[{"raw_affiliation_string":"Business Growth BU, JD.com, 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":["Business Growth BU, JD.com, China"],"affiliations":[{"raw_affiliation_string":"Business Growth BU, JD.com, 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":["Business Growth BU, JD.com, China"],"affiliations":[{"raw_affiliation_string":"Business Growth BU, JD.com, China","institution_ids":["https://openalex.org/I4210103986"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.447,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.99968,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9991,"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":0.9991,"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/T10028","display_name":"Topic Modeling","score":0.9964,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9962,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7382159},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.603085}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.8117088},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.76960146},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.7638061},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7382159},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.62677246},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.62067705},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.603085},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5597665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5506732},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5405023},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.535031},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40150583},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34580398},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30577183},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2095578},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08824897},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3485447.3512048","pdf_url":null,"source":{"id":"https://openalex.org/S4363608783","display_name":"Proceedings of the ACM Web Conference 2022","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2201.10980","pdf_url":"https://arxiv.org/pdf/2201.10980","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2201.10980","pdf_url":"https://arxiv.org/pdf/2201.10980","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":25,"referenced_works":["https://openalex.org/W2006203643","https://openalex.org/W2082927600","https://openalex.org/W2085040216","https://openalex.org/W2108685212","https://openalex.org/W2158515176","https://openalex.org/W2225156818","https://openalex.org/W2314598940","https://openalex.org/W2475334473","https://openalex.org/W2507344042","https://openalex.org/W2548570154","https://openalex.org/W2723293840","https://openalex.org/W2892656258","https://openalex.org/W2955624969","https://openalex.org/W2963085847","https://openalex.org/W2963522561","https://openalex.org/W2964182926","https://openalex.org/W2964983698","https://openalex.org/W2981707695","https://openalex.org/W3098638686","https://openalex.org/W3104030692","https://openalex.org/W3154508774","https://openalex.org/W3163043986","https://openalex.org/W3167730891","https://openalex.org/W3171874185","https://openalex.org/W4206566734"],"related_works":["https://openalex.org/W4255576661","https://openalex.org/W3214675586","https://openalex.org/W3046835365","https://openalex.org/W2490706771","https://openalex.org/W2480116122","https://openalex.org/W2051058708","https://openalex.org/W1983207144","https://openalex.org/W154868527","https://openalex.org/W1516574938","https://openalex.org/W1494268238"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,62],"general":[3],"Variational":[4],"Embedding":[5],"Learning":[6],"Framework":[7],"(VELF)":[8],"for":[9],"alleviating":[10,25],"the":[11,20,44,79],"severe":[12],"cold-start":[13],"problem":[14,23],"in":[15,30],"CTR":[16],"prediction.":[17],"VELF":[18],"addresses":[19],"cold":[21,49],"start":[22,50],"via":[24],"over-fits":[26],"caused":[27],"by":[28],"data-sparsity":[29],"two":[31,56],"ways:":[32],"learning":[33],"probabilistic":[34],"embedding,":[35],"and":[36,39,52,92],"incorporating":[37],"trainable":[38],"regularized":[40,93],"priors":[41,94],"which":[42],"utilize":[43],"rich":[45],"side":[46],"information":[47],"of":[48,81],"users":[51],"advertisements":[53],"(Ads).":[54],"The":[55],"techniques":[57],"are":[58],"naturally":[59],"integrated":[60],"into":[61],"variational":[63],"inference":[64],"framework,":[65],"forming":[66],"an":[67],"end-to-end":[68],"training":[69],"process.":[70],"Abundant":[71],"empirical":[72],"tests":[73],"on":[74],"benchmark":[75],"datasets":[76],"well":[77],"demonstrate":[78],"advantages":[80],"our":[82,90],"proposed":[83],"VELF.":[84],"Besides,":[85],"extended":[86],"experiments":[87],"confirmed":[88],"that":[89],"parameterized":[91],"provide":[95],"more":[96],"generalization":[97],"capability":[98],"than":[99],"traditional":[100],"fixed":[101],"priors.":[102]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4224310918","counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":1}],"updated_date":"2024-12-08T07:48:24.605837","created_date":"2022-04-26"}