{"id":"https://openalex.org/W2125847008","doi":"https://doi.org/10.1145/1963405.1963432","title":"Adaptive policies for selecting groupon style chunked reward ads in a stochastic knapsack framework","display_name":"Adaptive policies for selecting groupon style chunked reward ads in a stochastic knapsack framework","publication_year":2011,"publication_date":"2011-03-28","ids":{"openalex":"https://openalex.org/W2125847008","doi":"https://doi.org/10.1145/1963405.1963432","mag":"2125847008"},"language":"en","primary_location":{"id":"doi:10.1145/1963405.1963432","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1963405.1963432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th international conference on World wide web","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/A5049418599","display_name":"Michael Grabchak","orcid":"https://orcid.org/0000-0003-2547-0167"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Michael Grabchak","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062807220","display_name":"Narayan Bhamidipati","orcid":null},"institutions":[{"id":"https://openalex.org/I1325784139","display_name":"Yahoo (United Kingdom)","ror":"https://ror.org/038p3gq39","country_code":"GB","type":"company","lineage":["https://openalex.org/I1325784139","https://openalex.org/I4210134091"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Narayan Bhamidipati","raw_affiliation_strings":["Yahoo! Labs, Bangalore, India","[Yahoo! Labs, Bangalore, India]"],"affiliations":[{"raw_affiliation_string":"Yahoo! Labs, Bangalore, India","institution_ids":[]},{"raw_affiliation_string":"[Yahoo! Labs, Bangalore, India]","institution_ids":["https://openalex.org/I1325784139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110622743","display_name":"Rushi Bhatt","orcid":null},"institutions":[{"id":"https://openalex.org/I1325784139","display_name":"Yahoo (United Kingdom)","ror":"https://ror.org/038p3gq39","country_code":"GB","type":"company","lineage":["https://openalex.org/I1325784139","https://openalex.org/I4210134091"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rushi Bhatt","raw_affiliation_strings":["Yahoo! Labs, Bangalore, India","[Yahoo! Labs, Bangalore, India]"],"affiliations":[{"raw_affiliation_string":"Yahoo! Labs, Bangalore, India","institution_ids":[]},{"raw_affiliation_string":"[Yahoo! Labs, Bangalore, India]","institution_ids":["https://openalex.org/I1325784139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109547753","display_name":"Dinesh Garg","orcid":null},"institutions":[{"id":"https://openalex.org/I1325784139","display_name":"Yahoo (United Kingdom)","ror":"https://ror.org/038p3gq39","country_code":"GB","type":"company","lineage":["https://openalex.org/I1325784139","https://openalex.org/I4210134091"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dinesh Garg","raw_affiliation_strings":["Yahoo! Labs, Bangalore, India","[Yahoo! Labs, Bangalore, India]"],"affiliations":[{"raw_affiliation_string":"Yahoo! Labs, Bangalore, India","institution_ids":[]},{"raw_affiliation_string":"[Yahoo! Labs, Bangalore, India]","institution_ids":["https://openalex.org/I1325784139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5049418599"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":4.0972,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.93845883,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"167","last_page":"176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998999834060669,"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":0.9998999834060669,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9991000294685364,"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/T12288","display_name":"Optimization and Search Problems","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/knapsack-problem","display_name":"Knapsack problem","score":0.9420657157897949},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6729331016540527},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.6367116570472717},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6181519031524658},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5283397436141968},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2521492838859558},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17229121923446655}],"concepts":[{"id":"https://openalex.org/C113138325","wikidata":"https://www.wikidata.org/wiki/Q864457","display_name":"Knapsack problem","level":2,"score":0.9420657157897949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6729331016540527},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.6367116570472717},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6181519031524658},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5283397436141968},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2521492838859558},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17229121923446655}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1963405.1963432","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1963405.1963432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th international conference on World wide web","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2041025394","https://openalex.org/W2066671865","https://openalex.org/W2112420033","https://openalex.org/W2117423367","https://openalex.org/W2119850747","https://openalex.org/W2135351982","https://openalex.org/W2150597708","https://openalex.org/W2990138404"],"related_works":["https://openalex.org/W2357796514","https://openalex.org/W2393014972","https://openalex.org/W2357595179","https://openalex.org/W2351136238","https://openalex.org/W2891162720","https://openalex.org/W3171554204","https://openalex.org/W3199776955","https://openalex.org/W2169800510","https://openalex.org/W2167807475","https://openalex.org/W3112089036"],"abstract_inverted_index":{"Stochastic":[0],"knapsack":[1],"problems":[2],"deal":[3,52],"with":[4,7,80],"selecting":[5,174],"items":[6,32,175],"potentially":[8],"random":[9],"sizes":[10],"and":[11,83,162],"rewards":[12],"so":[13],"as":[14,92],"to":[15,46,69,119],"maximize":[16],"the":[17,47,66,123,155,170,177,192],"total":[18],"reward":[19,181],"while":[20,108],"satisfying":[21],"certain":[22,140],"capacity":[23],"constraints.":[24],"A":[25],"novel":[26],"variant":[27],"of":[28,59,104,110,144,173,187,191,198],"this":[29,71],"problem,":[30],"where":[31,50,135,157],"are":[33,86,100,116,148,159],"worthless":[34],"unless":[35,55],"collected":[36],"in":[37,88,142],"bundles,":[38],"is":[39,44,53,73],"introduced":[40],"here.":[41],"This":[42],"setup":[43],"similar":[45],"Groupon":[48],"model,":[49],"a":[51,56,183,195],"off":[54],"minimum":[57],"number":[58],"users":[60],"sign":[61],"up":[62],"for":[63,102,130,154,194],"it.":[64],"Since":[65],"optimal":[67,120,188],"algorithm":[68],"solve":[70],"problem":[72],"not":[74],"practical,":[75],"several":[76],"adaptive":[77],"greedy":[78,106,171],"approaches":[79],"reasonable":[81],"time":[82,193],"memory":[84],"requirements":[85],"studied":[87],"detail":[89],"-":[90],"theoretically,":[91],"well":[93],"as,":[94],"experimentally.":[95],"Worst":[96],"case":[97],"performance":[98],"guarantees":[99],"provided":[101],"some":[103],"these":[105],"algorithms,":[107],"results":[109],"experimental":[111],"evaluation":[112],"demonstrate":[113],"that":[114],"they":[115],"much":[117],"closer":[118],"than":[121],"what":[122],"theoretical":[124],"bounds":[125],"suggest.":[126],"Applications":[127],"include":[128],"optimizing":[129],"online":[131],"advertising":[132],"pricing":[133],"models":[134],"advertisers":[136],"pay":[137],"only":[138],"when":[139],"goals,":[141],"terms":[143],"clicks":[145],"or":[146],"conversions,":[147],"met.":[149],"We":[150],"perform":[151],"extensive":[152],"experiments":[153],"situation":[156],"there":[158],"between":[160],"two":[161],"five":[163],"ads.":[164],"For":[165],"typical":[166],"ad":[167],"conversion":[168],"rates,":[169],"policy":[172],"having":[176],"highest":[178],"individual":[179],"expected":[180],"obtains":[182],"value":[184],"within":[185],"5%":[186],"over":[189],"95%":[190],"wide":[196],"selection":[197],"parameters.":[199]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}