{"id":"https://openalex.org/W2120966432","doi":"https://doi.org/10.1145/2063576.2063668","title":"Simulating simple user behavior for system effectiveness evaluation","display_name":"Simulating simple user behavior for system effectiveness evaluation","publication_year":2011,"publication_date":"2011-10-24","ids":{"openalex":"https://openalex.org/W2120966432","doi":"https://doi.org/10.1145/2063576.2063668","mag":"2120966432"},"language":"en","primary_location":{"id":"doi:10.1145/2063576.2063668","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2063576.2063668","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 ACM international conference on Information and knowledge management","raw_type":"proceedings-article"},"type":"conference-paper","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/A5078123101","display_name":"Ben Carterette","orcid":"https://orcid.org/0000-0001-9538-047X"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ben Carterette","raw_affiliation_strings":["University of Delaware, Newark, DE, USA","University of Delaware, Newark, DE. USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Delaware, Newark, DE, USA","institution_ids":["https://openalex.org/I86501945"]},{"raw_affiliation_string":"University of Delaware, Newark, DE. USA","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055639036","display_name":"Evangelos Kanoulas","orcid":"https://orcid.org/0000-0002-8312-0694"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Evangelos Kanoulas","raw_affiliation_strings":["University of Sheffield, Sheffield, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sheffield, Sheffield, United Kingdom","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076265623","display_name":"Emine Y\u0131lmaz","orcid":"https://orcid.org/0000-0002-3434-8932"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Emine Yilmaz","raw_affiliation_strings":["Microsoft Research, Cambridge, United Kingdom","Microsoft Research, Cambridge, United Kingdom ("],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom (","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":72,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"611","last_page":"620"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9991999864578247,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9991999864578247,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9958000183105469,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8219819068908691},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.6881064772605896},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.6338324546813965},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5214859247207642},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5061447024345398},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48083361983299255},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4686557352542877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33357489109039307},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17476895451545715}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8219819068908691},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.6881064772605896},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.6338324546813965},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5214859247207642},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5061447024345398},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48083361983299255},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4686557352542877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33357489109039307},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17476895451545715},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2063576.2063668","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2063576.2063668","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 ACM international conference on Information and knowledge management","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:1421697","is_oa":false,"landing_page_url":"http://discovery.ucl.ac.uk/1421697/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"In: Macdonald, C and Ounis, I and Ruthven, I, (eds.) (pp. pp. 611-620). ACM (2011)","raw_type":"Proceedings paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1528762139","https://openalex.org/W1604317414","https://openalex.org/W1968927634","https://openalex.org/W1976719972","https://openalex.org/W1992411228","https://openalex.org/W1993320088","https://openalex.org/W1999444901","https://openalex.org/W2009948657","https://openalex.org/W2026784708","https://openalex.org/W2031858317","https://openalex.org/W2069870183","https://openalex.org/W2070192299","https://openalex.org/W2113640060","https://openalex.org/W2120308175","https://openalex.org/W2125771191","https://openalex.org/W2130076000","https://openalex.org/W2132314908","https://openalex.org/W2134131174","https://openalex.org/W2160892561","https://openalex.org/W2169783907","https://openalex.org/W2339629929","https://openalex.org/W2744013175","https://openalex.org/W4300667014","https://openalex.org/W6703972206","https://openalex.org/W6742590177"],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W1494268238","https://openalex.org/W154868527","https://openalex.org/W1983207144","https://openalex.org/W2490706771","https://openalex.org/W2480116122","https://openalex.org/W4255576661","https://openalex.org/W1516574938","https://openalex.org/W2625725254","https://openalex.org/W2563912921"],"abstract_inverted_index":{"Information":[0],"retrieval":[1],"effectiveness":[2,114],"evaluation":[3],"typically":[4],"takes":[5],"one":[6],"of":[7,44,70,89,143],"two":[8],"forms:":[9],"batch":[10],"experiments":[11,29],"based":[12],"on":[13],"static":[14],"test":[15,59],"collections,":[16],"or":[17],"lab":[18],"studies":[19],"measuring":[20],"actual":[21],"users":[22],"interacting":[23],"with":[24],"a":[25,45,51,77,82,86,116,122],"system.":[26],"Test":[27],"collection":[28],"are":[30],"sometimes":[31],"viewed":[32],"as":[33],"introducing":[34],"too":[35],"many":[36],"simplifying":[37],"assumptions":[38],"to":[39,47,99,106,111,115,135,139,146],"accurately":[40,101],"predict":[41],"the":[42,103,141],"usefulness":[43],"system":[46,113],"its":[48],"users.":[49],"As":[50],"result,":[52],"there":[53],"is":[54],"great":[55],"interest":[56],"in":[57],"creating":[58],"collections":[60],"and":[61,109,132],"measures":[62,74,95],"that":[63,75,93],"better":[64],"model":[65],"user":[66,79,107,118],"behavior.":[67],"One":[68],"line":[69],"research":[71],"involves":[72],"developing":[73],"include":[76],"parameterized":[78],"model;":[80],"choosing":[81],"parameter":[83,147],"value":[84],"simulates":[85],"particular":[87],"type":[88],"user.":[90],"We":[91,120],"propose":[92],"these":[94],"offer":[96],"an":[97],"opportunity":[98],"more":[100],"simulate":[102],"variance":[104,144],"due":[105,145],"behavior,":[108],"thus":[110],"analyze":[112],"simulated":[117],"population.":[119],"introduce":[121],"Bayesian":[123],"procedure":[124],"for":[125],"producing":[126],"sampling":[127],"distributions":[128],"from":[129],"click":[130],"data,":[131],"show":[133],"how":[134],"use":[136],"statistical":[137],"tools":[138],"quantify":[140],"effects":[142],"selection.":[148]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":8}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
