{"id":"https://openalex.org/W2592799139","doi":"https://doi.org/10.1145/3025171.3025222","title":"Negative Relevance Feedback for Exploratory Search with Visual Interactive Intent Modeling","display_name":"Negative Relevance Feedback for Exploratory Search with Visual Interactive Intent Modeling","publication_year":2017,"publication_date":"2017-03-07","ids":{"openalex":"https://openalex.org/W2592799139","doi":"https://doi.org/10.1145/3025171.3025222","mag":"2592799139"},"language":"en","primary_location":{"id":"doi:10.1145/3025171.3025222","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3025171.3025222","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3025222&type=pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=3025222&type=pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059446980","display_name":"Jaakko Peltonen","orcid":"https://orcid.org/0000-0003-3485-8585"},"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"]},{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jaakko Peltonen","raw_affiliation_strings":["University of Tampere & Aalto University, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tampere & Aalto University, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I9927081","https://openalex.org/I4210133110"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009159716","display_name":"Jonathan Strahl","orcid":"https://orcid.org/0000-0002-7818-5178"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jonathan Strahl","raw_affiliation_strings":["Aalto University, Espoo, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017033347","display_name":"Patrik Flor\u00e9en","orcid":"https://orcid.org/0000-0001-7347-0685"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]},{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Patrik Flor\u00e9en","raw_affiliation_strings":["Aalto University & University of Helsinki, Helsinki, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalto University & University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I9927081","https://openalex.org/I133731052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.6088,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.97624849,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"149","last_page":"159"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9987000226974487,"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":0.9987000226974487,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9970999956130981,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.9332619905471802},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8257243633270264},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7837085723876953},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6033342480659485},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5859153866767883},{"id":"https://openalex.org/keywords/exploratory-search","display_name":"Exploratory search","score":0.5691647529602051},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4765358865261078},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.46883267164230347},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.46750932931900024},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.42985212802886963},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.40915393829345703},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32170969247817993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21297362446784973},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.12700283527374268}],"concepts":[{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.9332619905471802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8257243633270264},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7837085723876953},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6033342480659485},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5859153866767883},{"id":"https://openalex.org/C2777866876","wikidata":"https://www.wikidata.org/wiki/Q5421358","display_name":"Exploratory search","level":2,"score":0.5691647529602051},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4765358865261078},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.46883267164230347},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.46750932931900024},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.42985212802886963},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.40915393829345703},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32170969247817993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21297362446784973},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.12700283527374268},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"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/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3025171.3025222","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3025171.3025222","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3025222&type=pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"},{"id":"pmh:oai:aaltodoc.aalto.fi:123456789/26988","is_oa":true,"landing_page_url":"https://research.aalto.fi/en/publications/c612b4da-b621-4d21-9643-ab3f6c490814","pdf_url":null,"source":{"id":"https://openalex.org/S4306401663","display_name":"Aaltodoc (Aalto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9927081","host_organization_name":"Aalto University","host_organization_lineage":["https://openalex.org/I9927081"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"publishedVersion"},{"id":"pmh:oai:helda.helsinki.fi:10138/232254","is_oa":true,"landing_page_url":"http://hdl.handle.net/10138/232254","pdf_url":null,"source":{"id":"https://openalex.org/S4210213322","display_name":"Ty\u00f6v\u00e4entutkimus Vuosikirja","issn_l":"0784-1272","issn":["0784-1272","1459-7780"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference contribution"},{"id":"pmh:oai:trepo.tuni.fi:10024/118418","is_oa":false,"landing_page_url":"https://trepo.tuni.fi/handle/10024/118418","pdf_url":null,"source":{"id":"https://openalex.org/S4306401860","display_name":"Tampere University Institutional Repository (Tampere University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I150589677","host_organization_name":"Tampere University of Applied Sciences","host_organization_lineage":["https://openalex.org/I150589677"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"publishedVersion"}],"best_oa_location":{"id":"doi:10.1145/3025171.3025222","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3025171.3025222","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3025222&type=pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321855","display_name":"Tekes","ror":"https://ror.org/02ag8cq23"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2592799139.pdf","grobid_xml":"https://content.openalex.org/works/W2592799139.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W19399978","https://openalex.org/W252678337","https://openalex.org/W1125391467","https://openalex.org/W1506260885","https://openalex.org/W1532325895","https://openalex.org/W1589868016","https://openalex.org/W1818876442","https://openalex.org/W1841841294","https://openalex.org/W1966074492","https://openalex.org/W1975930441","https://openalex.org/W1978800831","https://openalex.org/W1979560453","https://openalex.org/W2013104098","https://openalex.org/W2030603245","https://openalex.org/W2035798593","https://openalex.org/W2061745787","https://openalex.org/W2065658517","https://openalex.org/W2065715877","https://openalex.org/W2074449313","https://openalex.org/W2079168273","https://openalex.org/W2091628730","https://openalex.org/W2096250025","https://openalex.org/W2098620241","https://openalex.org/W2099561919","https://openalex.org/W2100438118","https://openalex.org/W2108114251","https://openalex.org/W2117829666","https://openalex.org/W2118322263","https://openalex.org/W2123948358","https://openalex.org/W2128834557","https://openalex.org/W2130900715","https://openalex.org/W2140221871","https://openalex.org/W2162111811","https://openalex.org/W2163382007","https://openalex.org/W2546347449","https://openalex.org/W2593450880","https://openalex.org/W3008070742","https://openalex.org/W4213009331","https://openalex.org/W4244155844","https://openalex.org/W6600808634"],"related_works":["https://openalex.org/W1483679762","https://openalex.org/W1965565478","https://openalex.org/W2946273706","https://openalex.org/W3036335698","https://openalex.org/W2163814182","https://openalex.org/W2299342644","https://openalex.org/W2323948589","https://openalex.org/W2592799139","https://openalex.org/W2094302994","https://openalex.org/W2294387781"],"abstract_inverted_index":{"In":[0],"difficult":[1,183,217],"information":[2,176,212],"seeking":[3,177],"tasks,":[4],"the":[5,85,99,104,107,140,145,153,158,188,191,195,208],"majority":[6],"of":[7,61,93,110,120,134,150,163,194,210],"top-ranked":[8],"documents":[9,129],"for":[10,43,169,216],"an":[11,62,79,90],"initial":[12],"query":[13],"may":[14,21],"be":[15],"non-relevant,":[16],"and":[17,41,74,139,152,202,213],"negative":[18,28,44,75,204],"relevance":[19,29],"feedback":[20,30,45,54,76,115,121,200,205],"then":[22],"help":[23],"find":[24],"relevant":[25,135,142],"documents.":[26],"Traditional":[27],"has":[31],"been":[32],"studied":[33],"on":[34,78,89,98,182],"document":[35],"results;":[36],"we":[37,186],"introduce":[38],"a":[39,47,125],"system":[40,70,189],"interface":[42],"in":[46],"novel":[48,126],"exploratory":[49],"search":[50],"setting,":[51],"where":[52],"continuous-valued":[53],"is":[55,112,122],"directly":[56,77],"given":[57],"to":[58,190],"keyword":[59],"features":[60],"inferred":[63],"probabilistic":[64],"user":[65,86,95,105,214],"intent":[66,101],"model.":[67],"The":[68],"introduced":[69],"allows":[71],"both":[72],"positive":[73,199],"interactive":[80,100],"visual":[81],"interface,":[82],"by":[83,116,124,132],"letting":[84],"manipulate":[87],"keywords":[88,111,143],"optimized":[91],"visualization":[92],"modeled":[94],"intent.":[96],"Feedback":[97],"model":[102],"lets":[103],"direct":[106],"search:":[108],"Relevance":[109],"estimated":[113],"from":[114],"Bayesian":[117],"inference,":[118],"influence":[119],"increased":[123],"propagation":[127],"step,":[128],"are":[130,165],"retrieved":[131,211],"likelihoods":[133],"versus":[136],"non-relevant":[137,155],"intents,":[138],"most":[141,154],"(having":[144,157],"highest":[146],"upper":[147],"confidence":[148,161],"bounds":[149,162],"relevance)":[151,164],"ones":[156],"smallest":[159],"lower":[160],"shown":[166],"as":[167],"options":[168],"further":[170],"feedback.":[171],"We":[172],"carry":[173],"out":[174],"task-based":[175],"experiments":[178],"with":[179],"real":[180,184],"users":[181],"tasks;":[185],"compare":[187],"nearest":[192],"state":[193],"art":[196],"baseline":[197],"allowing":[198],"only,":[201],"show":[203],"significantly":[206],"improves":[207],"quality":[209],"satisfaction":[215],"tasks.":[218]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}