{"id":"https://openalex.org/W2767377948","doi":"https://doi.org/10.1145/3132847.3133034","title":"Recommendation with Capacity Constraints","display_name":"Recommendation with Capacity Constraints","publication_year":2017,"publication_date":"2017-11-06","ids":{"openalex":"https://openalex.org/W2767377948","doi":"https://doi.org/10.1145/3132847.3133034","mag":"2767377948"},"language":"en","primary_location":{"id":"doi:10.1145/3132847.3133034","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3133034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and 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/A5068681271","display_name":"Konstantina Christakopoulou","orcid":"https://orcid.org/0000-0002-1650-1796"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Konstantina Christakopoulou","raw_affiliation_strings":["University of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031581124","display_name":"Jaya Kawale","orcid":"https://orcid.org/0009-0005-5451-3308"},"institutions":[{"id":"https://openalex.org/I869089601","display_name":"Netflix (United States)","ror":"https://ror.org/0197qw696","country_code":"US","type":"company","lineage":["https://openalex.org/I869089601"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jaya Kawale","raw_affiliation_strings":["Netflix, Los Gatos, CA, USA"],"affiliations":[{"raw_affiliation_string":"Netflix, Los Gatos, CA, USA","institution_ids":["https://openalex.org/I869089601"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014459472","display_name":"Arindam Banerjee","orcid":"https://orcid.org/0000-0002-7856-5699"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arindam Banerjee","raw_affiliation_strings":["University of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068681271"],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":null,"apc_paid":null,"fwci":3.3854,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.93855607,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1439","last_page":"1448"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9918000102043152,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.940500020980835,"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/computer-science","display_name":"Computer science","score":0.7817728519439697},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7548553347587585},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6193458437919617},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.6192138195037842},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5693308115005493},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5475417971611023},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4931930899620056},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.466502845287323},{"id":"https://openalex.org/keywords/business-process-reengineering","display_name":"Business process reengineering","score":0.429552286863327},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.42497190833091736},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3226475119590759},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29665708541870117},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11941462755203247},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07902279496192932}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7817728519439697},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7548553347587585},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6193458437919617},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6192138195037842},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5693308115005493},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5475417971611023},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4931930899620056},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.466502845287323},{"id":"https://openalex.org/C29143872","wikidata":"https://www.wikidata.org/wiki/Q876690","display_name":"Business process reengineering","level":3,"score":0.429552286863327},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42497190833091736},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3226475119590759},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29665708541870117},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11941462755203247},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07902279496192932},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C137335462","wikidata":"https://www.wikidata.org/wiki/Q380772","display_name":"Lean manufacturing","level":2,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3132847.3133034","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3133034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4753362727","display_name":null,"funder_award_id":"NNX12AQ39A","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G7856530581","display_name":null,"funder_award_id":"IIS- 1447566, IIS-1422557,CCF-1451986, CNS-1314560, IIS-0953274, IIS- 1029711","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1072529691","https://openalex.org/W1577527822","https://openalex.org/W1580561995","https://openalex.org/W1736726159","https://openalex.org/W1763335505","https://openalex.org/W1886704267","https://openalex.org/W1962871885","https://openalex.org/W1967787801","https://openalex.org/W1984189333","https://openalex.org/W1986050033","https://openalex.org/W2005653178","https://openalex.org/W2006822005","https://openalex.org/W2017921654","https://openalex.org/W2033009633","https://openalex.org/W2040257652","https://openalex.org/W2044672016","https://openalex.org/W2052384471","https://openalex.org/W2054141820","https://openalex.org/W2063438171","https://openalex.org/W2084127140","https://openalex.org/W2094176536","https://openalex.org/W2100922150","https://openalex.org/W2101409192","https://openalex.org/W2112447569","https://openalex.org/W2124187902","https://openalex.org/W2137245235","https://openalex.org/W2140310134","https://openalex.org/W2145664829","https://openalex.org/W2146502635","https://openalex.org/W2150921150","https://openalex.org/W2151464835","https://openalex.org/W2161676175","https://openalex.org/W2183531780","https://openalex.org/W2279176662","https://openalex.org/W2338147439","https://openalex.org/W2394103513","https://openalex.org/W2460051063","https://openalex.org/W2510892344","https://openalex.org/W2517388038","https://openalex.org/W2517976049","https://openalex.org/W2604308535","https://openalex.org/W2963275074","https://openalex.org/W4229641819","https://openalex.org/W4247154108"],"related_works":["https://openalex.org/W130381036","https://openalex.org/W7602594","https://openalex.org/W2364400397","https://openalex.org/W3088559275","https://openalex.org/W4285164253","https://openalex.org/W2013394905","https://openalex.org/W2798881875","https://openalex.org/W3155637454","https://openalex.org/W2600865495","https://openalex.org/W1981844236"],"abstract_inverted_index":{"In":[0],"many":[1],"recommendation":[2,8,41,45,74,97,150],"settings,":[3],"the":[4,29,33,36,40,43,82,132,148,153],"candidate":[5],"items":[6],"for":[7,52,72,107,115,126],"are":[9,47,140],"associated":[10],"with":[11,64],"a":[12,20,55,68],"maximum":[13],"capacity,":[14],"i.e.,":[15],"number":[16,24],"of":[17,25,35,152],"seats":[18],"in":[19,28,39,142],"Point-of-Interest":[21],"(POI)":[22],"or":[23],"item":[26,78,108],"copies":[27],"inventory.":[30],"However,":[31],"despite":[32],"prevalence":[34],"capacity":[37,83],"constraint":[38],"process,":[42],"existing":[44],"methods":[46,139],"not":[48],"designed":[49],"to":[50,88,92,145],"optimize":[51],"respecting":[53],"such":[54],"constraint.":[56],"Towards":[57],"closing":[58],"this":[59],"gap,":[60],"we":[61],"propose":[62],"Recommendation":[63],"Capacity":[65],"Constraints":[66],"--":[67],"framework":[69,123],"that":[70,80,121],"optimizes":[71],"both":[73],"accuracy":[75],"and":[76,110],"expected":[77],"usage":[79],"respects":[81],"constraints.":[84],"We":[85],"show":[86],"how":[87],"apply":[89],"our":[90,122,138],"method":[91],"three":[93],"state-of-the-art":[94],"latent":[95],"factor":[96],"models:":[98],"probabilistic":[99],"matrix":[100,112],"factorization":[101,113],"(PMF),":[102],"bayesian":[103],"personalized":[104],"ranking":[105],"(BPR)":[106],"recommendation,":[109],"geographical":[111],"(GeoMF)":[114],"POI":[116],"recommendation.":[117],"Our":[118],"experiments":[119],"indicate":[120],"is":[124],"effective":[125],"providing":[127],"good":[128],"recommendations":[129],"while":[130],"taking":[131],"limited":[133],"resources":[134],"into":[135],"consideration.":[136],"Interestingly,":[137],"shown":[141],"some":[143],"cases":[144],"further":[146],"improve":[147],"top-N":[149],"quality":[151],"respective":[154],"unconstrained":[155],"models.":[156]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
