{"id":"https://openalex.org/W2745812175","doi":"https://doi.org/10.1145/3121050.3121098","title":"Towards Learning Reward Functions from User Interactions","display_name":"Towards Learning Reward Functions from User Interactions","publication_year":2017,"publication_date":"2017-09-29","ids":{"openalex":"https://openalex.org/W2745812175","doi":"https://doi.org/10.1145/3121050.3121098","mag":"2745812175"},"language":"en","primary_location":{"id":"doi:10.1145/3121050.3121098","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3121050.3121098","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 SIGIR International Conference on Theory of Information Retrieval","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1708.04378","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101651748","display_name":"Ziming Li","orcid":"https://orcid.org/0009-0004-7529-7176"},"institutions":[{"id":"https://openalex.org/I4210135670","display_name":"Amsterdam University of the Arts","ror":"https://ror.org/04dde1554","country_code":"NL","type":"education","lineage":["https://openalex.org/I4210135670"]},{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ziming Li","raw_affiliation_strings":["University of Amsterdam, Amsterdam, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I4210135670","https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026947055","display_name":"Julia Kiseleva","orcid":"https://orcid.org/0000-0002-3789-9588"},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Julia Kiseleva","raw_affiliation_strings":["UserSat.com & University of Amsterdam, Amsterdam, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UserSat.com & University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031439294","display_name":"Maarten de Rijke","orcid":"https://orcid.org/0000-0002-1086-0202"},"institutions":[{"id":"https://openalex.org/I4210135670","display_name":"Amsterdam University of the Arts","ror":"https://ror.org/04dde1554","country_code":"NL","type":"education","lineage":["https://openalex.org/I4210135670"]},{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Maarten de Rijke","raw_affiliation_strings":["University of Amsterdam, Amsterdam, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I4210135670","https://openalex.org/I887064364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049949700","display_name":"Artem Grotov","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135670","display_name":"Amsterdam University of the Arts","ror":"https://ror.org/04dde1554","country_code":"NL","type":"education","lineage":["https://openalex.org/I4210135670"]},{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Artem Grotov","raw_affiliation_strings":["University of Amsterdam, Amsterdam, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Amsterdam, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I4210135670","https://openalex.org/I887064364"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9841,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.89825255,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"289","last_page":"292"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9951000213623047,"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":0.9951000213623047,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9943000078201294,"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"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9901999831199646,"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":0.7517348527908325},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.7170252203941345},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6150241494178772},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5850995182991028},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5386331677436829},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5313542485237122},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5305799841880798},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5175547003746033},{"id":"https://openalex.org/keywords/interactive-learning","display_name":"Interactive Learning","score":0.4630013108253479},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.44192537665367126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33731353282928467},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27480024099349976},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.23149731755256653}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7517348527908325},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.7170252203941345},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6150241494178772},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5850995182991028},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5386331677436829},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5313542485237122},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5305799841880798},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5175547003746033},{"id":"https://openalex.org/C2776716048","wikidata":"https://www.wikidata.org/wiki/Q6045290","display_name":"Interactive Learning","level":2,"score":0.4630013108253479},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.44192537665367126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33731353282928467},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27480024099349976},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.23149731755256653},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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":6,"locations":[{"id":"doi:10.1145/3121050.3121098","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3121050.3121098","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 SIGIR International Conference on Theory of Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1708.04378","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1708.04378","pdf_url":"https://arxiv.org/pdf/1708.04378","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/bee474a5-57ca-4051-957e-aaf68c6b31dd","is_oa":true,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/towards-learning-reward-functions-from-user-interactions(bee474a5-57ca-4051-957e-aaf68c6b31dd).html","pdf_url":"https://pure.uva.nl/ws/files/23175358/p289_li.pdf","source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Li, Z, Kiseleva, J, de Rijke, M & Grotov, A 2017, Towards learning reward functions from user interactions. in ICTIR'17: proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval : October 1-4, 2017, Amsterdam, the Netherlands. Association for Computing Machinery, New York, NY, pp. 289-292, 7th ACM SIGIR International Conference on the Theory of Information Retrieval, ICTIR 2017, Amsterdam, Netherlands, 1/10/17. https://doi.org/10.1145/3121050.3121098","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:uvapub:oai:dare.uva.nl:publications/bee474a5-57ca-4051-957e-aaf68c6b31dd","is_oa":true,"landing_page_url":"https://dare.uva.nl/personal/pure/en/publications/towards-learning-reward-functions-from-user-interactions(bee474a5-57ca-4051-957e-aaf68c6b31dd).html","pdf_url":"https://dare.uva.nl/personal/pure/en/publications/towards-learning-reward-functions-from-user-interactions(bee474a5-57ca-4051-957e-aaf68c6b31dd).html","source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICTIR'17: proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval: October 1-4, 2017, Amsterdam, the Netherlands, 289 - 292","raw_type":"info:eu-repo/semantics/conferencepaper"},{"id":"pmh:oai:dare.uva.nl:openaire/bee474a5-57ca-4051-957e-aaf68c6b31dd","is_oa":true,"landing_page_url":"https://hdl.handle.net/11245.1/bee474a5-57ca-4051-957e-aaf68c6b31dd","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Li, Z, Kiseleva, J, de Rijke, M & Grotov, A 2017, Towards learning reward functions from user interactions. in ICTIR'17: proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval : October 1-4, 2017, Amsterdam, the Netherlands. Association for Computing Machinery, New York, NY, pp. 289-292, 7th ACM SIGIR International Conference on the Theory of Information Retrieval, ICTIR 2017, Amsterdam, Netherlands, 1/10/17. https://doi.org/10.1145/3121050.3121098","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:dare.uva.nl:publications/bee474a5-57ca-4051-957e-aaf68c6b31dd","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1708.04378","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1708.04378","pdf_url":"https://arxiv.org/pdf/1708.04378","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6700000166893005}],"awards":[{"id":"https://openalex.org/G2586376837","display_name":null,"funder_award_id":"612.001.551","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G283277720","display_name":null,"funder_award_id":"HOR-11-10","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G3032427513","display_name":"NEWEL - The New Science of Existential Well-being","funder_award_id":"652.001.003","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G5993542861","display_name":null,"funder_award_id":"652.002.001","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G7724334725","display_name":null,"funder_award_id":"FP7/2007-2013","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G8543999253","display_name":null,"funder_award_id":"CI-14-25","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"},{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W139596442","https://openalex.org/W1500478607","https://openalex.org/W1967498673","https://openalex.org/W1975566260","https://openalex.org/W1984770088","https://openalex.org/W1989894098","https://openalex.org/W1990324845","https://openalex.org/W1991754822","https://openalex.org/W1995847086","https://openalex.org/W1999874108","https://openalex.org/W2003473029","https://openalex.org/W2022995284","https://openalex.org/W2035569891","https://openalex.org/W2038121406","https://openalex.org/W2051944318","https://openalex.org/W2061562262","https://openalex.org/W2070815407","https://openalex.org/W2075186161","https://openalex.org/W2084664053","https://openalex.org/W2098774185","https://openalex.org/W2127052912","https://openalex.org/W2133068870","https://openalex.org/W2145087262","https://openalex.org/W2147892741","https://openalex.org/W2153803020","https://openalex.org/W2176930994","https://openalex.org/W2218578097","https://openalex.org/W2331728731","https://openalex.org/W2339829457","https://openalex.org/W2341328702","https://openalex.org/W2341909854","https://openalex.org/W2397891592","https://openalex.org/W2403419699","https://openalex.org/W2460937017","https://openalex.org/W2464171116","https://openalex.org/W2470873417","https://openalex.org/W2585378574","https://openalex.org/W2594624103","https://openalex.org/W3099554918","https://openalex.org/W4298081798","https://openalex.org/W4300175355","https://openalex.org/W4301406666"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4317039510","https://openalex.org/W4238861846","https://openalex.org/W2068306051"],"abstract_inverted_index":{"In":[0,161],"the":[1,9,43,73,77,117,187,220,230,233],"physical":[2],"world,":[3],"people":[4],"have":[5],"dynamic":[6,197],"preferences,":[7],"e.g.,":[8],"same":[10,29],"situation":[11,75],"can":[12,169],"lead":[13],"to":[14,20,41,151,182,199,210],"satisfaction":[15],"for":[16,22,32,92,139,145,240],"some":[17],"humans":[18],"and":[19,76,86,104,147,196,213],"frustration":[21],"others.":[23],"Personalization":[24],"is":[25,39,137,193],"called":[26],"for.":[27],"The":[28],"observation":[30],"holds":[31],"online":[33,89],"behavior":[34,44],"with":[35,50,125,216],"interactive":[36,51,93,127,141],"systems.":[37],"It":[38],"natural":[40],"represent":[42],"of":[45,65,80,223,232],"users":[46],"who":[47],"are":[48,102],"engaging":[49],"systems":[52,94],"such":[53,95],"as":[54,62,96,143],"a":[55,59,63,82,121,133,194,201,224],"search":[56,97],"engine":[57],"or":[58,99,115],"recommender":[60,100],"system,":[61],"sequence":[64],"actions":[66],"where":[67],"each":[68],"next":[69],"action":[70],"depends":[71],"on":[72],"current":[74,88],"user":[78,110,122,184,242],"reward":[79,118,135,154,167,203,238],"taking":[81],"particular":[83],"action.":[84],"By":[85],"large,":[87],"evaluation":[90],"metrics":[91],"engines":[98],"systems,":[101],"static":[103],"do":[105],"not":[106],"reflect":[107],"differences":[108],"in":[109],"behavior.":[111],"They":[112],"rarely":[113],"capture":[114],"model":[116],"experienced":[119],"by":[120,235],"while":[123],"interacting":[124],"an":[126,140,207],"system.":[128],"We":[129,149,178,205],"argue":[130],"that":[131,228],"knowing":[132],"user's":[134,202],"function":[136],"essential":[138],"system":[142],"both":[144],"learning":[146,176,188],"evaluation.":[148],"propose":[150],"learn":[152],"users'":[153,166],"functions":[155,168,239],"directly":[156,172],"from":[157],"observed":[158],"interaction":[159,221],"traces.":[160],"particular,":[162],"we":[163],"present":[164,206],"how":[165,181],"be":[170],"uncovered":[171],"using":[173,219],"inverse":[174],"reinforcement":[175],"techniques.":[177],"also":[179],"show":[180],"incorporate":[183],"features":[185],"into":[186],"process.":[189],"Our":[190],"main":[191],"contribution":[192],"novel":[195],"approach":[198,209,234],"restore":[200],"function.":[204],"analytic":[208],"this":[211],"problem":[212],"complement":[214],"it":[215],"initial":[217],"experiments":[218],"logs":[222],"cultural":[225],"heritage":[226],"institution":[227],"demonstrate":[229],"feasibility":[231],"uncovering":[236],"different":[237,241],"groups.":[243]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-11-23T00:00:00"}