{"id":"https://openalex.org/W4396723655","doi":"https://doi.org/10.1145/3589334.3649114","title":"Revisiting the Behavioral Foundations of User Modeling Algorithms","display_name":"Revisiting the Behavioral Foundations of User Modeling Algorithms","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4396723655","doi":"https://doi.org/10.1145/3589334.3649114"},"language":"en","primary_location":{"id":"doi:10.1145/3589334.3649114","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589334.3649114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"type":"conference-abstract","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/A5055710645","display_name":"Jon Kleinberg","orcid":"https://orcid.org/0000-0002-1929-2512"},"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":"Jon Kleinberg","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-1929-2512","affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5055710645"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9677000045776367,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9624000191688538,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.7926548719406128},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6612299680709839},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6485183238983154},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6017151474952698},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5271565318107605},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47044649720191956},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4315493404865265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42414945363998413},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.42219123244285583},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.38206422328948975},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3368581235408783},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12431231141090393}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.7926548719406128},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6612299680709839},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6485183238983154},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6017151474952698},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5271565318107605},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47044649720191956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4315493404865265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42414945363998413},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.42219123244285583},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38206422328948975},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3368581235408783},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12431231141090393},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589334.3649114","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589334.3649114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2971351794","https://openalex.org/W4376155396","https://openalex.org/W1947085858","https://openalex.org/W2174986909","https://openalex.org/W2527791220","https://openalex.org/W2101991911","https://openalex.org/W2155070487","https://openalex.org/W4311589891","https://openalex.org/W3123835761","https://openalex.org/W118270247"],"abstract_inverted_index":{"One":[0],"of":[1,12,22,38,60,91,142,153],"the":[2,10,19,68,92,106,112,132,170],"fundamental":[3],"problems":[4],"that":[5,52,70,135,146,164],"platform":[6,25,81],"algorithms":[7,145],"face":[8],"is":[9,174],"process":[11,152],"inferring":[13,161],"user":[14,133],"preferences":[15,124],"from":[16],"observed":[17],"behavior;":[18],"vast":[20],"amounts":[21],"data":[23,134],"a":[24,57,140,151],"collects":[26],"become":[27],"much":[28],"less":[29],"useful":[30],"if":[31],"they":[32],"cannot":[33],"effectively":[34],"inform":[35],"this":[36,43,148],"type":[37],"inference.":[39],"Traditional":[40],"approaches":[41],"to":[42,103,129],"problem":[44],"rely":[45],"on":[46,116,176],"an":[47,157],"often":[48],"unstated":[49],"revealed-preference":[50],"assumption:":[51],"choice":[53,75],"reveals":[54,67],"preference.":[55],"Yet":[56],"long":[58],"line":[59],"work":[61,178],"in":[62,89,105,155,169],"psychology":[63],"and":[64,76,78,108,122,144,184],"behavioral":[65,120],"economics":[66],"gaps":[69],"can":[71,87],"open":[72],"up":[73],"between":[74],"preference,":[77],"experience":[79],"with":[80,179],"dynamics":[82],"makes":[83],"clear":[84],"how":[85],"it":[86,126],"arise":[88],"some":[90],"most":[93],"basic":[94],"online":[95],"settings;":[96],"for":[97],"example,":[98],"we":[99,114,136],"might":[100],"choose":[101],"content":[102],"consume":[104],"present":[107],"then":[109],"later":[110],"regret":[111],"time":[113],"spent":[115],"it.":[117],"More":[118],"generally,":[119],"biases":[121],"inconsistent":[123],"make":[125],"highly":[127],"challenging":[128],"appropriately":[130],"interpret":[131],"observe.":[137],"We":[138],"discuss":[139],"set":[141],"models":[143],"address":[147],"challenge":[149],"through":[150],"\"inversion\",":[154],"which":[156],"algorithm":[158],"must":[159],"try":[160],"mental":[162],"states":[163],"are":[165],"not":[166],"directly":[167],"measured":[168],"data.":[171],"The":[172],"talk":[173],"based":[175],"joint":[177],"Jens":[180],"Ludwig,":[181],"Sendhil":[182],"Mullainathan,":[183],"Manish":[185],"Raghavan.":[186]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
