{"id":"https://openalex.org/W4384659451","doi":"https://doi.org/10.1145/3539618.3592014","title":"LOVF: Layered Organic View Fusion for Click-through Rate Prediction in Online Advertising","display_name":"LOVF: Layered Organic View Fusion for Click-through Rate Prediction in Online Advertising","publication_year":2023,"publication_date":"2023-07-18","ids":{"openalex":"https://openalex.org/W4384659451","doi":"https://doi.org/10.1145/3539618.3592014"},"language":"en","primary_location":{"id":"doi:10.1145/3539618.3592014","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3592014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5101430635","display_name":"Lingwei Kong","orcid":"https://orcid.org/0009-0007-0597-8293"},"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":"Lingwei Kong","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-0597-8293","affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364503","display_name":"Lu Wang","orcid":"https://orcid.org/0000-0002-9437-6898"},"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":"Lu Wang","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9437-6898","affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020847596","display_name":"Xiwei Zhao","orcid":"https://orcid.org/0000-0002-9382-6041"},"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":"Xiwei Zhao","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9382-6041","affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081364924","display_name":"Junsheng Jin","orcid":"https://orcid.org/0009-0002-3460-6935"},"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":"Junsheng Jin","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-3460-6935","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":"middle","author":{"id":"https://openalex.org/A5056000157","display_name":"Jinghe Hu","orcid":"https://orcid.org/0009-0002-1546-5807"},"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":"Jinghe Hu","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-1546-5807","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":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2139","last_page":"2143"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9907000064849854,"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":0.9898999929428101,"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":0.7854045629501343},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7836672067642212},{"id":"https://openalex.org/keywords/click-through-rate","display_name":"Click-through rate","score":0.7098764181137085},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.5177187323570251},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5081439018249512},{"id":"https://openalex.org/keywords/online-advertising","display_name":"Online advertising","score":0.4844067692756653},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.46177589893341064},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45641568303108215},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.44823381304740906},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4276924729347229},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.42065444588661194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41386622190475464},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.355674147605896},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3166302442550659},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.09887447953224182},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.06963065266609192}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7854045629501343},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7836672067642212},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.7098764181137085},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.5177187323570251},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5081439018249512},{"id":"https://openalex.org/C512338625","wikidata":"https://www.wikidata.org/wiki/Q624902","display_name":"Online advertising","level":3,"score":0.4844067692756653},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.46177589893341064},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45641568303108215},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.44823381304740906},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4276924729347229},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42065444588661194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41386622190475464},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.355674147605896},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3166302442550659},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.09887447953224182},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.06963065266609192},{"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"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/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3539618.3592014","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3592014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1644641054","https://openalex.org/W2181159407","https://openalex.org/W2723293840","https://openalex.org/W2793768763","https://openalex.org/W2809290718","https://openalex.org/W2964182926","https://openalex.org/W2984582982","https://openalex.org/W3041133507","https://openalex.org/W3087931390","https://openalex.org/W3104030692","https://openalex.org/W3107147550","https://openalex.org/W3148388528","https://openalex.org/W3156673030","https://openalex.org/W3209943551","https://openalex.org/W4224314818","https://openalex.org/W4281695125","https://openalex.org/W4283698545","https://openalex.org/W4365398203"],"related_works":["https://openalex.org/W3121555120","https://openalex.org/W4286419063","https://openalex.org/W175164097","https://openalex.org/W2100597815","https://openalex.org/W2380781062","https://openalex.org/W1977797174","https://openalex.org/W2143648166","https://openalex.org/W2106728444","https://openalex.org/W2162862818","https://openalex.org/W3120879483"],"abstract_inverted_index":{"Organic":[0,44],"recommendation":[1,4,22,66,111],"and":[2,68,95,112,149,153],"advertising":[3,29,56,82,113,123,147],"usually":[5],"coexist":[6],"on":[7,97,146],"e-commerce":[8,135],"platforms.":[9],"In":[10],"this":[11],"paper,":[12],"we":[13],"study":[14],"the":[15,64,76,81,109,122,132],"problem":[16],"of":[17,80,89,126,131],"utilizing":[18],"data":[19,106],"from":[20,31,63,107],"organic":[21,65,110],"to":[23],"reinforce":[24],"click-through":[25],"rate":[26],"prediction":[27],"in":[28,121],"scenarios":[30],"a":[32,38,49,87,98],"multi-view":[33,50],"learning":[34],"perspective.":[35],"We":[36],"propose":[37],"novel":[39],"method,":[40],"termed":[41],"LOVF":[42,47,58,116,142],"(Layered":[43],"View":[45],"Fusion).":[46],"implements":[48],"fusion":[51],"mechanism":[52],"-":[53],"for":[54,159],"each":[55],"instance,":[57],"derives":[59],"deep":[60,70],"representations":[61,71,79],"layer-by-layer":[62],"view":[67],"these":[69],"are":[72,155],"then":[73],"fused":[74],"into":[75],"corresponding":[77],"vanilla":[78],"view.":[83],"Extensive":[84],"experiments":[85],"across":[86],"variety":[88],"backbones":[90],"demonstrate":[91],"LOVF's":[92],"generality,":[93],"effectiveness":[94],"efficiency":[96],"new":[99],"real-world":[100],"production":[101],"dataset.":[102],"The":[103],"dataset":[104,154],"encompasses":[105],"both":[108],"scenarios.":[114],"Notably,":[115],"has":[117],"been":[118],"successfully":[119],"deployed":[120],"recommender":[124],"system":[125],"JD.com,":[127],"which":[128],"is":[129],"one":[130],"world's":[133],"largest":[134],"platforms;":[136],"online":[137],"A/B":[138],"testing":[139],"shows":[140],"that":[141],"achieves":[143],"impressive":[144],"improvement":[145],"clicks":[148],"revenue.":[150],"Our":[151],"code":[152],"available":[156],"at":[157],"https://github.com/adsturing/lovf":[158],"facilitating":[160],"further":[161],"research.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
