{"id":"https://openalex.org/W2955624969","doi":"https://doi.org/10.1145/3331184.3331268","title":"Warm Up Cold-start Advertisements","display_name":"Warm Up Cold-start Advertisements","publication_year":2019,"publication_date":"2019-07-18","ids":{"openalex":"https://openalex.org/W2955624969","doi":"https://doi.org/10.1145/3331184.3331268","mag":"2955624969"},"language":"en","primary_location":{"id":"doi:10.1145/3331184.3331268","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5087003458","display_name":"Feiyang Pan","orcid":"https://orcid.org/0000-0002-0103-1090"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feiyang Pan","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085221871","display_name":"Shuokai Li","orcid":"https://orcid.org/0000-0002-7936-8179"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuokai Li","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068007462","display_name":"Xiang Ao","orcid":"https://orcid.org/0000-0001-9633-8361"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Ao","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013558969","display_name":"Pingzhong Tang","orcid":"https://orcid.org/0000-0003-1330-1999"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pingzhong Tang","raw_affiliation_strings":["IIIS, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"IIIS, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100734672","display_name":"Qing He","orcid":"https://orcid.org/0000-0001-8833-5398"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing He","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5087003458"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176"],"apc_list":null,"apc_paid":null,"fwci":17.0285,"has_fulltext":false,"cited_by_count":163,"citation_normalized_percentile":{"value":0.9916006,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"695","last_page":"704"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9968000054359436,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.996399998664856,"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":0.7052839398384094},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.6942992210388184},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6013336181640625},{"id":"https://openalex.org/keywords/click-through-rate","display_name":"Click-through rate","score":0.48415642976760864},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41038334369659424},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3699910640716553},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35343432426452637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3390616774559021},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2986873388290405},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.124045729637146}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7052839398384094},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.6942992210388184},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6013336181640625},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.48415642976760864},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41038334369659424},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3699910640716553},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35343432426452637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3390616774559021},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2986873388290405},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.124045729637146},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3331184.3331268","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","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":43,"referenced_works":["https://openalex.org/W331119053","https://openalex.org/W1999973986","https://openalex.org/W2002834872","https://openalex.org/W2006203643","https://openalex.org/W2013221919","https://openalex.org/W2018571751","https://openalex.org/W2029507558","https://openalex.org/W2029604041","https://openalex.org/W2065663334","https://openalex.org/W2077042171","https://openalex.org/W2082927600","https://openalex.org/W2094937186","https://openalex.org/W2108685212","https://openalex.org/W2112420033","https://openalex.org/W2134435539","https://openalex.org/W2145680191","https://openalex.org/W2149409084","https://openalex.org/W2154259852","https://openalex.org/W2158515176","https://openalex.org/W2194321275","https://openalex.org/W2295739661","https://openalex.org/W2314598940","https://openalex.org/W2406862418","https://openalex.org/W2475334473","https://openalex.org/W2507344042","https://openalex.org/W2514776376","https://openalex.org/W2529147798","https://openalex.org/W2548570154","https://openalex.org/W2572651649","https://openalex.org/W2604662567","https://openalex.org/W2604763608","https://openalex.org/W2723293840","https://openalex.org/W2743209601","https://openalex.org/W2753433947","https://openalex.org/W2753686090","https://openalex.org/W2913415152","https://openalex.org/W2914272066","https://openalex.org/W2951422922","https://openalex.org/W2963323306","https://openalex.org/W2963680249","https://openalex.org/W3098551837","https://openalex.org/W3140043901","https://openalex.org/W6713134421"],"related_works":["https://openalex.org/W2529147798","https://openalex.org/W1979350723","https://openalex.org/W2555127516","https://openalex.org/W2528269032","https://openalex.org/W3111219495","https://openalex.org/W4380075502","https://openalex.org/W2955214695","https://openalex.org/W3190524507","https://openalex.org/W3155121005","https://openalex.org/W4296605900"],"abstract_inverted_index":{"Click-through":[0],"rate":[1],"(CTR)":[2],"prediction":[3,28],"has":[4],"been":[5],"one":[6],"of":[7,22],"the":[8,51],"most":[9],"central":[10],"problems":[11],"in":[12],"computational":[13],"advertising.":[14],"Lately,":[15],"embedding":[16],"techniques":[17,33],"that":[18],"produce":[19],"low-dimensional":[20],"representations":[21],"ad":[23],"IDs":[24],"drastically":[25],"improve":[26],"CTR":[27],"accuracies.":[29],"However,":[30],"such":[31],"learning":[32],"are":[34],"data":[35],"demanding":[36],"and":[37],"work":[38],"poorly":[39],"on":[40],"new":[41],"ads":[42],"with":[43],"little":[44],"logging":[45],"data,":[46],"which":[47],"is":[48],"known":[49],"as":[50],"cold-start":[52],"problem.":[53]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":28},{"year":2024,"cited_by_count":27},{"year":2023,"cited_by_count":34},{"year":2022,"cited_by_count":28},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}