{"id":"https://openalex.org/W7118170120","doi":"https://doi.org/10.1287/opre.2020.0781","title":"Revenue Maximization and Learning in Product Ranking","display_name":"Revenue Maximization and Learning in Product Ranking","publication_year":2026,"publication_date":"2026-01-05","ids":{"openalex":"https://openalex.org/W7118170120","doi":"https://doi.org/10.1287/opre.2020.0781"},"language":"en","primary_location":{"id":"doi:10.1287/opre.2020.0781","is_oa":false,"landing_page_url":"https://doi.org/10.1287/opre.2020.0781","pdf_url":null,"source":{"id":"https://openalex.org/S125775545","display_name":"Operations Research","issn_l":"0030-364X","issn":["0030-364X","1526-5463"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315699","host_organization_name":"Institute for Operations Research and the Management Sciences","host_organization_lineage":["https://openalex.org/P4310315699"],"host_organization_lineage_names":["Institute for Operations Research and the Management Sciences"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Operations Research","raw_type":"journal-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/A5077201351","display_name":"Ningyuan Chen","orcid":"https://orcid.org/0000-0002-3948-1011"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ningyuan Chen","raw_affiliation_strings":["Rotman School of Management, University of Toronto, Toronto, Ontario M5S 3E6, Canada"],"raw_orcid":"https://orcid.org/0000-0002-3948-1011","affiliations":[{"raw_affiliation_string":"Rotman School of Management, University of Toronto, Toronto, Ontario M5S 3E6, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081500389","display_name":"Anran Li","orcid":"https://orcid.org/0000-0001-7001-2240"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Anran Li","raw_affiliation_strings":["Department of Decisions, Operations and Technology, The Chinese University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0001-7001-2240","affiliations":[{"raw_affiliation_string":"Department of Decisions, Operations and Technology, The Chinese University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075657505","display_name":"Shuoguang Yang","orcid":"https://orcid.org/0000-0002-0915-196X"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shuoguang Yang","raw_affiliation_strings":["Department of Industrial Engineering and Decision Analytics, The Hong Kong University of Science and Technology, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-0915-196X","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Decision Analytics, The Hong Kong University of Science and Technology, Hong Kong SAR, China","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02209058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"74","issue":"3","first_page":"1284","last_page":"1303"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.439300000667572,"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"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.439300000667572,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.1111999973654747,"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":0.09019999951124191,"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/ranking","display_name":"Ranking (information retrieval)","score":0.698199987411499},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.6104000210762024},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5999000072479248},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5303999781608582},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4794999957084656},{"id":"https://openalex.org/keywords/attractiveness","display_name":"Attractiveness","score":0.4472000002861023},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.42260000109672546}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.698199987411499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6740000247955322},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.6104000210762024},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5999000072479248},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5303999781608582},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4794999957084656},{"id":"https://openalex.org/C31173074","wikidata":"https://www.wikidata.org/wiki/Q2632514","display_name":"Attractiveness","level":2,"score":0.4472000002861023},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.42260000109672546},{"id":"https://openalex.org/C2781386248","wikidata":"https://www.wikidata.org/wiki/Q11898700","display_name":"Revenue management","level":3,"score":0.4223000109195709},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4059999883174896},{"id":"https://openalex.org/C8505890","wikidata":"https://www.wikidata.org/wiki/Q605095","display_name":"Budget constraint","level":2,"score":0.3659000098705292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3504999876022339},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3492000102996826},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.33719998598098755},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30390000343322754},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.28200000524520874},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.27140000462532043},{"id":"https://openalex.org/C19351080","wikidata":"https://www.wikidata.org/wiki/Q1395034","display_name":"New product development","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C147101817","wikidata":"https://www.wikidata.org/wiki/Q13443840","display_name":"Product category","level":3,"score":0.26010000705718994}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1287/opre.2020.0781","is_oa":false,"landing_page_url":"https://doi.org/10.1287/opre.2020.0781","pdf_url":null,"source":{"id":"https://openalex.org/S125775545","display_name":"Operations Research","issn_l":"0030-364X","issn":["0030-364X","1526-5463"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315699","host_organization_name":"Institute for Operations Research and the Management Sciences","host_organization_lineage":["https://openalex.org/P4310315699"],"host_organization_lineage_names":["Institute for Operations Research and the Management Sciences"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Operations Research","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4656982123851776,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1500282178","https://openalex.org/W1992549066","https://openalex.org/W2031711991","https://openalex.org/W2096355537","https://openalex.org/W2117923605","https://openalex.org/W2123110149","https://openalex.org/W2130520598","https://openalex.org/W2144425834","https://openalex.org/W2148962857","https://openalex.org/W2166577222","https://openalex.org/W2169572553","https://openalex.org/W2169725625","https://openalex.org/W2740158290","https://openalex.org/W2904315817","https://openalex.org/W2906115048","https://openalex.org/W2912615039","https://openalex.org/W2942488364","https://openalex.org/W2950929549","https://openalex.org/W2951777528","https://openalex.org/W2962727192","https://openalex.org/W2972989214","https://openalex.org/W2979957478","https://openalex.org/W3011311334","https://openalex.org/W3024987513","https://openalex.org/W3027706529","https://openalex.org/W3085631657","https://openalex.org/W3121438461","https://openalex.org/W3122647617","https://openalex.org/W3122960105","https://openalex.org/W3122984617","https://openalex.org/W3123482145","https://openalex.org/W3123656730","https://openalex.org/W3125094476","https://openalex.org/W3125844871","https://openalex.org/W3126095556","https://openalex.org/W3132995834","https://openalex.org/W3175901868","https://openalex.org/W3181755100","https://openalex.org/W3193963178","https://openalex.org/W3207790912","https://openalex.org/W4206486967","https://openalex.org/W4210682503","https://openalex.org/W4297999477","https://openalex.org/W4388191242","https://openalex.org/W4393160242","https://openalex.org/W4404695115","https://openalex.org/W4408328559"],"related_works":[],"abstract_inverted_index":{"The":[0,76],"Price":[1],"of":[2,49,96,102],"Attention:":[3],"Ranking":[4],"Products":[5],"for":[6,38,85],"Maximum":[7],"Revenue":[8],"How":[9],"should":[10],"an":[11,82],"online":[12,132],"retailer":[13],"rank":[14],"products":[15],"when":[16],"customers":[17,43],"have":[18],"limited":[19],"attention":[20,112,122],"spans?":[21],"Chen,":[22],"Li,":[23],"and":[24,51,72,121,142],"Yang":[25],"tackle":[26],"this":[27],"classic":[28],"problem":[29],"by":[30,105],"extending":[31],"the":[32,52,79,126,130],"well-known":[33],"cascade":[34],"model":[35],"to":[36,56],"account":[37],"two":[39],"crucial,":[40],"real-world":[41],"factors:":[42],"view":[44],"only":[45],"a":[46,64,87,94,106],"random":[47],"number":[48],"items,":[50],"firm\u2019s":[53],"goal":[54],"is":[55],"maximize":[57],"revenue,":[58],"not":[59],"just":[60],"clicks.":[61],"This":[62],"creates":[63],"difficult":[65],"trade-off":[66],"between":[67],"ranking":[68],"popular,":[69],"low-price":[70],"items":[71],"riskier,":[73],"high-price":[74],"ones.":[75],"authors":[77,127],"propose":[78],"\u201cBest-x\u201d":[80],"algorithm,":[81,134],"efficient":[83],"method":[84],"finding":[86],"near-optimal":[88,144],"ranking.":[89],"They":[90],"prove":[91],"it":[92],"guarantees":[93],"revenue":[95],"at":[97],"least":[98],"1/e":[99],"(approximately":[100],"37%)":[101],"that":[103],"achievable":[104],"clairvoyant":[107],"who":[108],"knows":[109],"each":[110],"customer\u2019s":[111],"span":[113],"in":[114],"advance.":[115],"For":[116],"cases":[117],"where":[118],"product":[119],"attractiveness":[120],"distributions":[123],"are":[124],"unknown,":[125],"also":[128],"devise":[129],"RankUCB":[131],"learning":[133],"which":[135],"learns":[136],"personalized":[137],"rankings":[138],"from":[139],"customer":[140],"interactions":[141],"achieves":[143],"performance":[145],"over":[146],"time.":[147]},"counts_by_year":[],"updated_date":"2026-05-26T06:15:08.310788","created_date":"2026-01-05T00:00:00"}