{"id":"https://openalex.org/W4306317441","doi":"https://doi.org/10.1145/3511808.3557551","title":"Balancing Utility and Exposure Fairness for Integrated Ranking with Reinforcement Learning","display_name":"Balancing Utility and Exposure Fairness for Integrated Ranking with Reinforcement Learning","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4306317441","doi":"https://doi.org/10.1145/3511808.3557551"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557551","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557551","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","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 31st ACM International Conference on Information &amp; Knowledge Management","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/A5041791979","display_name":"Wei Xia","orcid":"https://orcid.org/0000-0003-2544-775X"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Xia","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101500385","display_name":"Weiwen Liu","orcid":"https://orcid.org/0000-0002-9148-3997"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwen Liu","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100376148","display_name":"Yifan Liu","orcid":"https://orcid.org/0000-0002-4873-9694"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Liu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054330014","display_name":"Ruiming Tang","orcid":"https://orcid.org/0000-0002-9224-2431"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiming Tang","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5041791979"],"corresponding_institution_ids":["https://openalex.org/I2250955327"],"apc_list":null,"apc_paid":null,"fwci":0.951,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73547881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4590","last_page":"4594"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.9969000220298767,"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"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.993399977684021,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.8607325553894043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6911628246307373},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6265705823898315},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.6220134496688843},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5228210687637329},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5021066665649414},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39760535955429077}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8607325553894043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6911628246307373},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6265705823898315},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.6220134496688843},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5228210687637329},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5021066665649414},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39760535955429077},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3511808.3557551","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557551","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","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 31st ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2145339207","https://openalex.org/W2704480242","https://openalex.org/W2950173087","https://openalex.org/W2964121744","https://openalex.org/W3080386552","https://openalex.org/W3102092462","https://openalex.org/W3103891807","https://openalex.org/W3123348991","https://openalex.org/W3138773240","https://openalex.org/W3173331009","https://openalex.org/W3194194466","https://openalex.org/W3198517287"],"related_works":["https://openalex.org/W2968745142","https://openalex.org/W2809363009","https://openalex.org/W2348159088","https://openalex.org/W2045871438","https://openalex.org/W2499363748","https://openalex.org/W2350747448","https://openalex.org/W2368095327","https://openalex.org/W2122731942","https://openalex.org/W2402445420","https://openalex.org/W2514849893"],"abstract_inverted_index":{"Integrated":[0],"ranking":[1,16,68],"is":[2],"critical":[3],"in":[4,95,114,130],"industrial":[5],"recommendation":[6],"systems":[7],"and":[8,25,83,101,128,134],"has":[9,106],"attracted":[10],"increasing":[11],"attention.":[12],"In":[13],"an":[14,27,66],"integrated":[15,28,67],"system,":[17],"items":[18],"from":[19,34],"multiple":[20],"channels":[21,54],"are":[22],"merged":[23],"together":[24],"form":[26],"list.":[29],"During":[30],"this":[31,62],"process,":[32],"apart":[33],"optimizing":[35],"the":[36,40,49,80,84,91,97,110,117,124],"system's":[37],"utility":[38,100,133],"like":[39],"total":[41],"number":[42],"of":[43,48,93,132],"clicks,":[44],"a":[45],"fair":[46],"allocation":[47],"exposure":[50,85],"opportunities":[51],"over":[52],"different":[53],"also":[55,105],"needs":[56],"to":[57],"be":[58],"satisfied.":[59],"To":[60],"address":[61],"problem,":[63],"we":[64],"propose":[65],"model":[69],"called":[70],"<u>I</u>ntegrated":[71],"<u>D</u>eep-<u>Q</u>":[72],"<u>N</u>etwork":[73],"(iDQN),":[74],"which":[75],"jointly":[76],"considers":[77],"user":[78],"preferences,":[79],"platform's":[81],"utility,":[82],"fairness.":[86,102],"Extensive":[87],"offline":[88],"experiments":[89],"validate":[90],"effectiveness":[92],"iDQN":[94,104,122],"managing":[96],"tradeoff":[98],"between":[99],"Moreover,":[103],"been":[107],"deployed":[108],"onto":[109],"online":[111,118],"AppStore":[112],"platform":[113],"Huawei,":[115],"where":[116],"A/B":[119],"test":[120],"shows":[121],"outperforms":[123],"baseline":[125],"by":[126],"1.87%":[127],"2.21%":[129],"terms":[131],"fairness,":[135],"respectively.":[136]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}