{"id":"https://openalex.org/W2922207040","doi":"https://doi.org/10.1145/3295750.3298914","title":"Relevance-driven Clustering for Visual Information Retrieval on Twitter","display_name":"Relevance-driven Clustering for Visual Information Retrieval on Twitter","publication_year":2019,"publication_date":"2019-03-08","ids":{"openalex":"https://openalex.org/W2922207040","doi":"https://doi.org/10.1145/3295750.3298914","mag":"2922207040"},"language":"en","primary_location":{"id":"doi:10.1145/3295750.3298914","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3295750.3298914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 Conference on Human Information Interaction and Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Relevance-driven_clustering_for_visual_information_retrieval_on_twitter/20733247","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018899731","display_name":"Mohamed Reda Bouadjenek","orcid":"https://orcid.org/0000-0003-1807-430X"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Mohamed Reda Bouadjenek","raw_affiliation_strings":["University of Toronto, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028174137","display_name":"Scott Sanner","orcid":"https://orcid.org/0000-0001-7984-8394"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Scott Sanner","raw_affiliation_strings":["University of Toronto, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018899731"],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":0.7155,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.74372921,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"349","last_page":"353"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9984999895095825,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9984999895095825,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9807000160217285,"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/computer-science","display_name":"Computer science","score":0.8231394290924072},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8087664246559143},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7802150249481201},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6826764345169067},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.679973840713501},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5773506164550781},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5595937371253967},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5329554677009583},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48612022399902344},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.4643808603286743},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3527287244796753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2845294177532196}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8231394290924072},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8087664246559143},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7802150249481201},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6826764345169067},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.679973840713501},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5773506164550781},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5595937371253967},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5329554677009583},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48612022399902344},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.4643808603286743},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3527287244796753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2845294177532196},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3295750.3298914","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3295750.3298914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 Conference on Human Information Interaction and Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30131343","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401102","display_name":"Own your potential (DEAKIN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:figshare.com:article/20733247","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Relevance-driven_clustering_for_visual_information_retrieval_on_twitter/20733247","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20733247","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Relevance-driven_clustering_for_visual_information_retrieval_on_twitter/20733247","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.7400000095367432,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1564087491","https://openalex.org/W1585610988","https://openalex.org/W1980742466","https://openalex.org/W1998714630","https://openalex.org/W2009858410","https://openalex.org/W2041565863","https://openalex.org/W2071124968","https://openalex.org/W2081946181","https://openalex.org/W2114804204","https://openalex.org/W2130395434","https://openalex.org/W2137819016","https://openalex.org/W2145674033","https://openalex.org/W2150593711","https://openalex.org/W2158453355","https://openalex.org/W2309755354","https://openalex.org/W2788052342","https://openalex.org/W3006471670","https://openalex.org/W4244975643"],"related_works":["https://openalex.org/W51364034","https://openalex.org/W3127142483","https://openalex.org/W4385565564","https://openalex.org/W2138488530","https://openalex.org/W2898073868","https://openalex.org/W4284663758","https://openalex.org/W2971071571","https://openalex.org/W2798835721","https://openalex.org/W2387658907","https://openalex.org/W2922169395"],"abstract_inverted_index":{"Geo-temporal":[0],"visualization":[1],"of":[2,14,42,55,79,97,115,122,133,222],"Twitter":[3,105,116,169],"search":[4,30,117,193],"results":[5,31,158],"is":[6,124,180],"a":[7,21,38,76,103,125,150,160],"challenging":[8],"task":[9],"since":[10],"the":[11,53,68,120,201,220],"simultaneous":[12],"display":[13],"all":[15,155],"matching":[16,157],"tweets":[17,44],"would":[18],"result":[19],"in":[20,51,167,187,195,203],"saturated":[22],"and":[23,113,149,173,184,206,230],"unreadable":[24],"display.":[25],"In":[26],"such":[27,59],"settings,":[28],"clustering":[29,57,81,112],"can":[32],"assist":[33],"users":[34,88],"to":[35,86,138,163,182,197,234],"scan":[36],"only":[37],"few":[39],"coherent":[40,190],"groups":[41],"related":[43,162],"rather":[45],"than":[46],"many":[47],"individual":[48],"tweets.":[49],"However,":[50],"practice,":[52],"use":[54,183],"unsupervised":[56],"methods":[58],"as":[60,225,227],"K":[61,147],"-Means":[62,148],"does":[63],"not":[64],"necessarily":[65],"guarantee":[66],"that":[67,129,153,178],"clusters":[69,92,191],"themselves":[70],"are":[71],"relevant.":[72],"Therefore,":[73],"we":[74,212],"develop":[75],"novel":[77],"method":[78,152],"relevance-driven":[80,111],"for":[82,110,219],"visual":[83,237],"information":[84,95,223,238],"retrieval":[85,224],"supply":[87],"with":[89],"highly":[90],"relevant":[91],"representing":[93],"different":[94],"perspectives":[96],"their":[98],"queries.":[99],"We":[100,142],"specifically":[101],"propose":[102],"Visual":[104],"Information":[106],"Retrieval":[107],"(Viz-TIR)":[108],"tool":[109],"ranking":[114],"results.":[118],"At":[119],"heart":[121],"Viz-TIR":[123,179],"fast":[126],"greedy":[127],"algorithm":[128],"optimizes":[130],"an":[131,134],"approximation":[132],"expected":[135],"F1-Score":[136],"metric":[137],"generate":[139],"these":[140],"clusters.":[141],"demonstrate":[143],"its":[144],"effectiveness":[145],"w.r.t.":[146],"baseline":[151],"shows":[154,177],"top":[156],"on":[159],"scenario":[161],"searching":[164,205],"natural":[165],"disasters":[166],"US-based":[168],"data":[170],"spanning":[171],"2013":[172],"2014.":[174],"Our":[175],"demo":[176],"easy":[181],"more":[185],"precise":[186],"extracting":[188],"geo-temporally":[189],"given":[192],"queries":[194],"comparison":[196],"K-Means,":[198],"thus":[199],"aiding":[200],"user":[202],"visually":[204],"browsing":[207],"social":[208],"network":[209],"content.":[210],"Overall,":[211],"believe":[213],"this":[214],"work":[215],"enables":[216],"new":[217],"opportunities":[218],"synthesis":[221],"well":[226],"combined":[228],"relevance":[229],"display-aware":[231],"optimization":[232],"techniques":[233],"support":[235],"query-adaptive":[236],"exploration":[239],"interfaces.":[240]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
