{"id":"https://openalex.org/W3198517287","doi":"https://doi.org/10.1145/3485447.3512109","title":"Cross DQN: Cross Deep Q Network for Ads Allocation in Feed","display_name":"Cross DQN: Cross Deep Q Network for Ads Allocation in Feed","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W3198517287","doi":"https://doi.org/10.1145/3485447.3512109","mag":"3198517287"},"language":"en","primary_location":{"id":"doi:10.1145/3485447.3512109","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3485447.3512109","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2022","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/A5036945708","display_name":"Guogang Liao","orcid":"https://orcid.org/0009-0002-6530-7102"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Guogang Liao","raw_affiliation_strings":["Meituan, China"],"affiliations":[{"raw_affiliation_string":"Meituan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049179065","display_name":"Ze Wang","orcid":"https://orcid.org/0000-0001-8943-1955"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ze Wang","raw_affiliation_strings":["Meituan, China"],"affiliations":[{"raw_affiliation_string":"Meituan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027645208","display_name":"Xiaoxu Wu","orcid":"https://orcid.org/0000-0003-0598-4697"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoxu Wu","raw_affiliation_strings":["Meituan, China"],"affiliations":[{"raw_affiliation_string":"Meituan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064189829","display_name":"Xiaowen Shi","orcid":"https://orcid.org/0000-0001-6532-4522"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaowen Shi","raw_affiliation_strings":["Meituan, China"],"affiliations":[{"raw_affiliation_string":"Meituan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080460228","display_name":"Chuheng Zhang","orcid":null},"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":"Chuheng Zhang","raw_affiliation_strings":["IIIS, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"IIIS, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109602541","display_name":"Yongkang Wang","orcid":"https://orcid.org/0000-0003-0192-3539"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yongkang Wang","raw_affiliation_strings":["Meituan, China"],"affiliations":[{"raw_affiliation_string":"Meituan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100673283","display_name":"Xingxing Wang","orcid":"https://orcid.org/0000-0003-4437-5229"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xingxing Wang","raw_affiliation_strings":["Meituan, China"],"affiliations":[{"raw_affiliation_string":"Meituan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100391494","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0002-6992-7950"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong Wang","raw_affiliation_strings":["Meituan, China"],"affiliations":[{"raw_affiliation_string":"Meituan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5036945708"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.2348,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.95209495,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"401","last_page":"409"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9937999844551086,"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/T12384","display_name":"Customer churn and segmentation","score":0.9772999882698059,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.73177570104599},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.7152579426765442},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6821960806846619},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6224940419197083},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6094092726707458},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5684219002723694},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4643096923828125},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4063679575920105},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3466002643108368},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3282961845397949},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1347064971923828},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.12462246417999268},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12364691495895386},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11171340942382812},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09148475527763367}],"concepts":[{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.73177570104599},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.7152579426765442},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6821960806846619},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6224940419197083},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6094092726707458},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5684219002723694},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4643096923828125},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4063679575920105},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3466002643108368},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3282961845397949},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1347064971923828},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.12462246417999268},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12364691495895386},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11171340942382812},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09148475527763367},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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:10.1145/3485447.3512109","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3485447.3512109","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2022","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W102349725","https://openalex.org/W139596442","https://openalex.org/W1518931405","https://openalex.org/W2145339207","https://openalex.org/W2173564293","https://openalex.org/W2183531780","https://openalex.org/W2467077639","https://openalex.org/W2626778328","https://openalex.org/W2723293840","https://openalex.org/W2797234205","https://openalex.org/W2799173935","https://openalex.org/W2808227867","https://openalex.org/W2964121744","https://openalex.org/W2984582982","https://openalex.org/W3007094061","https://openalex.org/W3026648158","https://openalex.org/W3080386552","https://openalex.org/W3094280243","https://openalex.org/W3094577760","https://openalex.org/W3103141630","https://openalex.org/W3123656730","https://openalex.org/W3133186005","https://openalex.org/W3143973069","https://openalex.org/W3157410348","https://openalex.org/W3173331009","https://openalex.org/W3174033798","https://openalex.org/W3174762721","https://openalex.org/W4247154108"],"related_works":["https://openalex.org/W2140798747","https://openalex.org/W2948169060","https://openalex.org/W2090624569","https://openalex.org/W2807251790","https://openalex.org/W2730112582","https://openalex.org/W2358580169","https://openalex.org/W2111347279","https://openalex.org/W2110696645","https://openalex.org/W4310173797","https://openalex.org/W2487211728"],"abstract_inverted_index":{"E-commerce":[0],"platforms":[1],"usually":[2],"display":[3],"a":[4,39,71,84,126,138],"mixed":[5],"list":[6],"of":[7,46,50,62,65,77,96],"ads":[8,97,105],"and":[9,67,86],"organic":[10],"items":[11,52,66],"in":[12,23,89,104],"feed.":[13],"One":[14],"key":[15],"problem":[16],"is":[17,100,137],"to":[18,26,70,81,121],"allocate":[19],"the":[20,24,28,48,56,60,63,94,123,134],"limited":[21],"slots":[22],"feed":[25],"maximize":[27],"overall":[29],"revenue":[30],"as":[31,33],"well":[32],"improve":[34],"user":[35,43,54,110],"experience,":[36],"which":[37],"requires":[38],"good":[40],"model":[41,82],"for":[42],"preference.":[44],"Instead":[45],"modeling":[47],"influence":[49,61],"individual":[51],"on":[53],"behaviors,":[55],"arrangement":[57,64],"signal":[58,85],"models":[59],"may":[68],"lead":[69],"better":[72],"allocation":[73],"strategy.":[74],"However,":[75],"most":[76],"previous":[78],"strategies":[79],"fail":[80],"such":[83],"therefore":[87],"result":[88],"suboptimal":[90],"performance.":[91],"In":[92],"addition,":[93],"percentage":[95],"exposed":[98],"(PAE)":[99],"an":[101],"important":[102],"indicator":[103],"allocation.":[106],"Excessive":[107],"PAE":[108,115,124,135],"hurts":[109],"experience":[111],"while":[112,129],"too":[113],"low":[114],"reduces":[116],"platform":[117],"revenue.":[118],"Therefore,":[119],"how":[120],"constrain":[122],"within":[125],"certain":[127],"range":[128],"keeping":[130],"personalized":[131],"recommendation":[132],"under":[133],"constraint":[136],"challenge.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-01T17:29:45.350535","created_date":"2025-10-10T00:00:00"}