{"id":"https://openalex.org/W2950363500","doi":"https://doi.org/10.1145/3314183.3340265","title":"Empirical Evaluation of User Modeling Systems","display_name":"Empirical Evaluation of User Modeling Systems","publication_year":2019,"publication_date":"2019-06-06","ids":{"openalex":"https://openalex.org/W2950363500","doi":"https://doi.org/10.1145/3314183.3340265","mag":"2950363500"},"language":"en","primary_location":{"id":"doi:10.1145/3314183.3340265","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3314183.3340265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization","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/A5103347824","display_name":"David N. Chin","orcid":null},"institutions":[{"id":"https://openalex.org/I1331384533","display_name":"University of Hawaii System","ror":"https://ror.org/03tzaeb71","country_code":"US","type":"education","lineage":["https://openalex.org/I1331384533"]},{"id":"https://openalex.org/I117965899","display_name":"University of Hawai\u02bbi at M\u0101noa","ror":"https://ror.org/01wspgy28","country_code":"US","type":"education","lineage":["https://openalex.org/I117965899"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"David N. Chin","raw_affiliation_strings":["University of Hawaii, Honolulu, HI, USA"],"affiliations":[{"raw_affiliation_string":"University of Hawaii, Honolulu, HI, USA","institution_ids":["https://openalex.org/I117965899","https://openalex.org/I1331384533"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103347824"],"corresponding_institution_ids":["https://openalex.org/I117965899","https://openalex.org/I1331384533"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07458631,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"431","last_page":"432"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9868000149726868,"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":0.9868000149726868,"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/T14074","display_name":"Persona Design and Applications","score":0.9717000126838684,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9668999910354614,"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":0.754905641078949},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.7097141742706299},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.5507984757423401},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5223021507263184},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4814538359642029},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.4752606749534607},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3772222697734833},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3542681336402893},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3104446530342102},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13994988799095154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.754905641078949},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.7097141742706299},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.5507984757423401},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5223021507263184},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4814538359642029},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.4752606749534607},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3772222697734833},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3542681336402893},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3104446530342102},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13994988799095154},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3314183.3340265","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3314183.3340265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2002420618","https://openalex.org/W2032468592","https://openalex.org/W2124965434","https://openalex.org/W2154976144"],"related_works":["https://openalex.org/W2985746494","https://openalex.org/W4206042385","https://openalex.org/W2511384863","https://openalex.org/W2080773131","https://openalex.org/W2096089271","https://openalex.org/W2923628599","https://openalex.org/W2014100433","https://openalex.org/W2051519658","https://openalex.org/W2994787386","https://openalex.org/W2002304499"],"abstract_inverted_index":{"This":[0],"tutorial":[1],"will":[2],"introduce":[3],"User":[4],"Modeling":[5],"(UM)":[6],"researchers":[7],"to":[8],"the":[9,80],"techniques":[10],"of":[11,14,91],"empirical":[12],"evaluation":[13],"user":[15],"modeling":[16],"systems.":[17],"No":[18],"background":[19,35],"in":[20,36],"statistics":[21],"is":[22,27],"required.":[23],"The":[24],"target":[25],"audience":[26],"UM":[28],"researchers,":[29],"especially":[30],"students,":[31],"who":[32],"have":[33],"a":[34],"computer":[37],"science":[38],"or":[39],"some":[40],"other":[41],"field":[42],"that":[43],"does":[44],"not":[45],"normally":[46],"include":[47,54],"designing":[48,55],"and":[49,61,99],"running":[50,75],"human-subject":[51],"experiments.":[52],"Topics":[53],"experiments":[56,76],"(choosing":[57],"independent/dependent":[58],"variables,":[59,63],"covariant":[60],"nuisance":[62],"between":[64],"vs.":[65],"within":[66],"subjects":[67],"designs,":[68,70],"factorial":[69],"estimating":[71],"sensitivity,":[72],"layered":[73],"evaluation),":[74],"(recruiting":[77],"participants,":[78],"controlling":[79],"environment,":[81],"recording":[82],"data),":[83],"data":[84],"analysis":[85],"(statistical":[86],"tests,":[87],"ANOVA,":[88],"checking":[89],"assumptions":[90],"statistical":[92],"methods,":[93],"multiple":[94],"testing":[95],"correction,":[96],"explained":[97],"variance),":[98],"common":[100],"surveys/tests":[101],"for":[102],"gathering":[103],"covariate":[104],"data.":[105]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}