{"id":"https://openalex.org/W2080951971","doi":"https://doi.org/10.1145/1390334.1390448","title":"Intuition-supporting visualization of user's performance based on explicit negative higher-order relevance","display_name":"Intuition-supporting visualization of user's performance based on explicit negative higher-order relevance","publication_year":2008,"publication_date":"2008-07-20","ids":{"openalex":"https://openalex.org/W2080951971","doi":"https://doi.org/10.1145/1390334.1390448","mag":"2080951971"},"language":"en","primary_location":{"id":"doi:10.1145/1390334.1390448","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1390334.1390448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval","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/A5074159111","display_name":"Heikki Keskustalo","orcid":"https://orcid.org/0000-0003-1415-373X"},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]},{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Heikki Keskustalo","raw_affiliation_strings":["University of Tampere, Tampere, Finland","Univ. of Tampere, Tampere, Finland#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Tampere, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]},{"raw_affiliation_string":"Univ. of Tampere, Tampere, Finland#TAB#","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014374477","display_name":"Kalervo J\u00e4rvelin","orcid":"https://orcid.org/0000-0001-7655-8930"},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]},{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Kalervo J\u00e4rvelin","raw_affiliation_strings":["University of Tampere, Tampere, Finland","Univ. of Tampere, Tampere, Finland#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Tampere, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]},{"raw_affiliation_string":"Univ. of Tampere, Tampere, Finland#TAB#","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043509852","display_name":"Ari Pirkola","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]},{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Ari Pirkola","raw_affiliation_strings":["University of Tampere, Tampere, Finland","Univ. of Tampere, Tampere, Finland#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Tampere, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]},{"raw_affiliation_string":"Univ. of Tampere, Tampere, Finland#TAB#","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086854307","display_name":"Jaana Kek\u00e4l\u00e4inen","orcid":"https://orcid.org/0000-0002-4025-9522"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]},{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jaana Kek\u00e4l\u00e4inen","raw_affiliation_strings":["University of Tampere, Tampere, Finland","Univ. of Tampere, Tampere, Finland#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Tampere, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]},{"raw_affiliation_string":"Univ. of Tampere, Tampere, Finland#TAB#","institution_ids":["https://openalex.org/I166825849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074159111"],"corresponding_institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"],"apc_list":null,"apc_paid":null,"fwci":0.7024,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.73209157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"675","last_page":"682"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9959999918937683,"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/relevance","display_name":"Relevance (law)","score":0.6760428547859192},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6466450095176697},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.6136965155601501},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5750395059585571},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.527814507484436},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4396919012069702},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4224125146865845},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4062361419200897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24143245816230774},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.17454984784126282},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.09404712915420532},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.09259819984436035}],"concepts":[{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6760428547859192},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6466450095176697},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.6136965155601501},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5750395059585571},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.527814507484436},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4396919012069702},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4224125146865845},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4062361419200897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24143245816230774},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17454984784126282},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.09404712915420532},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.09259819984436035},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1390334.1390448","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1390334.1390448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1595665484","https://openalex.org/W1995976125","https://openalex.org/W2004737172","https://openalex.org/W2018850751","https://openalex.org/W2049612369","https://openalex.org/W2053528567","https://openalex.org/W2053584122","https://openalex.org/W2058678235","https://openalex.org/W2069870183","https://openalex.org/W2081357098","https://openalex.org/W2092488901","https://openalex.org/W2119529697","https://openalex.org/W2168469656","https://openalex.org/W2293322442"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W4294565801","https://openalex.org/W2170801710","https://openalex.org/W2952704802","https://openalex.org/W2741781807"],"abstract_inverted_index":{"Modeling":[0],"the":[1,15,30,53,71,89,105,110,135],"beyond-topical":[2],"aspects":[3,24],"of":[4,25,32,55,73,91,108,112,137],"relevance":[5,27,58],"are":[6,129],"currently":[7],"gaining":[8],"popularity":[9],"in":[10,66,83,93],"IR":[11,67],"evaluation.":[12,68,94],"For":[13],"example,":[14],"discounted":[16],"cumulated":[17],"gain":[18,64,78,127],"(DCG)":[19],"measure":[20],"implicitly":[21],"models":[22],"some":[23],"higher-order":[26,57],"via":[28,62],"diminishing":[29],"value":[31],"relevant":[33],"documents":[34],"seen":[35],"later":[36],"during":[37],"retrieval":[38,113],"(e.g.,":[39],"due":[40],"to":[41,75,98,139],"information":[42],"cumulated,":[43],"redundancy,":[44],"and":[45,87,125,131],"effort).":[46],"In":[47],"this":[48],"paper,":[49],"we":[50],"focus":[51],"on":[52],"concept":[54],"negative":[56,63,77,126],"(NHOR)":[59],"made":[60],"explicit":[61],"values":[65,128],"We":[69,118],"extend":[70],"computation":[72],"DCG":[74],"allow":[76],"values,":[79],"perform":[80],"an":[81],"experiment":[82],"a":[84],"laboratory":[85],"setting,":[86],"demonstrate":[88],"characteristics":[90],"NHOR":[92,138],"The":[95],"approach":[96],"leads":[97],"intuitively":[99],"reasonable":[100],"performance":[101],"curves":[102],"emphasizing,":[103],"from":[104],"user's":[106],"point":[107],"view,":[109],"progression":[111],"towards":[114],"success":[115],"or":[116],"failure.":[117],"discuss":[119],"normalization":[120],"issues":[121],"when":[122],"both":[123],"positive":[124],"allowed":[130],"conclude":[132],"by":[133],"discussing":[134],"usage":[136],"characterize":[140],"test":[141],"collections.":[142]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}