{"id":"https://openalex.org/W2464302339","doi":"https://doi.org/10.1145/2964797.2964811","title":"Diversity-oriented Multimodal and Interactive Information Retrieval","display_name":"Diversity-oriented Multimodal and Interactive Information Retrieval","publication_year":2016,"publication_date":"2016-06-27","ids":{"openalex":"https://openalex.org/W2464302339","doi":"https://doi.org/10.1145/2964797.2964811","mag":"2464302339"},"language":"en","primary_location":{"id":"doi:10.1145/2964797.2964811","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2964797.2964811","pdf_url":null,"source":{"id":"https://openalex.org/S6756005","display_name":"ACM SIGIR Forum","issn_l":"0163-5840","issn":["0163-5840","1558-0229"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGIR Forum","raw_type":"journal-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/A5057032605","display_name":"Rodrigo Tripodi Calumby","orcid":"https://orcid.org/0000-0001-8515-265X"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]},{"id":"https://openalex.org/I21606457","display_name":"Universidade Estadual de Feira de Santana","ror":"https://ror.org/04ygk5j35","country_code":"BR","type":"education","lineage":["https://openalex.org/I21606457"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Rodrigo Tripodi Calumby","raw_affiliation_strings":["RECOD Lab, University of Campinas, Brazil and University of Feira de Santana, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RECOD Lab, University of Campinas, Brazil and University of Feira de Santana, Brazil","institution_ids":["https://openalex.org/I181391015","https://openalex.org/I21606457"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057032605"],"corresponding_institution_ids":["https://openalex.org/I181391015","https://openalex.org/I21606457"],"apc_list":null,"apc_paid":null,"fwci":0.2106,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62554268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"50","issue":"1","first_page":"86","last_page":"86"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9969000220298767,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9969000220298767,"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":0.9951000213623047,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9477999806404114,"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":0.8871402740478516},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6987335085868835},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6745110750198364},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.5485020279884338},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.5479221343994141},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"Semantic gap","score":0.5017714500427246},{"id":"https://openalex.org/keywords/credibility","display_name":"Credibility","score":0.44146841764450073},{"id":"https://openalex.org/keywords/human\u2013computer-information-retrieval","display_name":"Human\u2013computer information retrieval","score":0.43498343229293823},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4282810389995575},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.42005378007888794},{"id":"https://openalex.org/keywords/multimodal-interaction","display_name":"Multimodal interaction","score":0.4158777892589569},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3688396215438843},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.3482629954814911},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3318442106246948},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.32392916083335876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1829146444797516}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8871402740478516},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6987335085868835},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6745110750198364},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.5485020279884338},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.5479221343994141},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.5017714500427246},{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.44146841764450073},{"id":"https://openalex.org/C90288658","wikidata":"https://www.wikidata.org/wiki/Q3318149","display_name":"Human\u2013computer information retrieval","level":3,"score":0.43498343229293823},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4282810389995575},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.42005378007888794},{"id":"https://openalex.org/C135641252","wikidata":"https://www.wikidata.org/wiki/Q738567","display_name":"Multimodal interaction","level":2,"score":0.4158777892589569},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3688396215438843},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.3482629954814911},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3318442106246948},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.32392916083335876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1829146444797516},{"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},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2964797.2964811","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2964797.2964811","pdf_url":null,"source":{"id":"https://openalex.org/S6756005","display_name":"ACM SIGIR Forum","issn_l":"0163-5840","issn":["0163-5840","1558-0229"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGIR Forum","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2034539438","https://openalex.org/W2056100761","https://openalex.org/W2075105123","https://openalex.org/W2142297230","https://openalex.org/W2290071120","https://openalex.org/W2768192742","https://openalex.org/W1658719554","https://openalex.org/W2543381692","https://openalex.org/W2169964589","https://openalex.org/W2124645781"],"abstract_inverted_index":{"Information":[0],"retrieval":[1,76,137,146,197],"methods,":[2],"especially":[3],"considering":[4,26,364],"multimedia":[5],"data,":[6],"have":[7,69,105,163,223,289],"evolved":[8],"towards":[9],"the":[10,18,21,24,37,45,48,60,71,75,107,111,143,154,204,213,217,220,244,253,262,296,317,332,338,358,365,373,378],"integration":[11,194,263],"of":[12,15,20,23,47,109,195,206,247,264,298,381],"multiple":[13,174,207,248],"sources":[14,250],"evidence":[16],"in":[17,308],"analysis":[19,241,287],"relevance":[22,86,117,234,274,307,366],"items":[25,383],"a":[27,227,284],"given":[28],"user":[29,65,72,113,187,218,374],"search":[30,310,322],"task.":[31],"In":[32,190],"this":[33],"context,":[34],"for":[35,96,202,331],"attenuating":[36],"semantic":[38,53],"gap":[39],"between":[40,216],"low-level":[41],"features":[42],"extracted":[43],"from":[44,176],"content":[46],"digital":[49],"objects":[50],"and":[51,58,129,133,148,158,165,186,198,210,219,225,267,275,302,325,340,367,384],"high-level":[52],"concepts":[54],"(objects,":[55],"categories,":[56],"etc.)":[57],"making":[59],"systems":[61],"adaptive":[62],"to":[63,74,295,377],"different":[64,327,333],"needs,":[66],"interactive":[67,134,144,196,309],"models":[68],"brought":[70],"closer":[73],"loop":[77],"allowing":[78],"user-system":[79],"interaction":[80],"mainly":[81],"through":[82],"implicit":[83],"or":[84,99,304],"explicit":[85],"feedback.":[87],"Analogously,":[88],"diversity":[89,199,278,301,349,385],"promotion":[90,200,279],"has":[91],"emerged":[92],"as":[93,192],"an":[94,121,193],"alternative":[95],"tackling":[97],"ambiguous":[98],"underspecified":[100],"queries.":[101],"Additionally,":[102],"several":[103,291],"works":[104],"addressed":[106],"issue":[108],"minimizing":[110],"required":[112],"effort":[114,319],"on":[115,271],"providing":[116],"assessments":[118],"while":[119],"keeping":[120,303],"acceptable":[122],"overall":[123,321,339,359],"effectiveness":[124,361],"This":[125,139],"thesis":[126],"discusses,":[127],"proposes,":[128],"experimentally":[130],"analyzes":[131],"multimodal":[132,228],"diversity-oriented":[135],"information":[136,145,175,214,249],"methods.":[138,280],"work,":[140],"comprehensively":[141],"covers":[142],"literature":[147],"also":[149,259,276,370],"discusses":[150],"about":[151],"recent":[152],"advances,":[153],"great":[155],"research":[156,160,292],"challenges,":[157],"promising":[159],"opportunities.":[161],"We":[162],"proposed":[164,224],"evaluated":[166,226],"two":[167],"relevancediversity":[168],"trade-off":[169],"enhancement":[170],"work-flows,":[171],"which":[172],"integrate":[173],"images,":[177],"such":[178],"as:":[179],"visual":[180],"features,":[181],"textual":[182],"metadata,":[183],"geographic":[184],"information,":[185],"credibility":[188],"descriptors.":[189],"turn,":[191],"techniques,":[201],"maximizing":[203],"coverage":[205],"query":[208],"interpretations/aspects":[209],"speeding":[211],"up":[212],"transfer":[215],"system,":[221],"we":[222,288,313,345],"online":[229],"learning-to-rank":[230],"method":[231],"trained":[232],"with":[233,283],"feedback":[235,342],"over":[236],"diversified":[237],"results":[238,258,324,353],"Our":[239,257],"experimental":[240,286],"shows":[242],"that":[243,261,347],"joint":[245],"usage":[246],"positively":[251],"impacted":[252],"relevance-diversity":[254],"balancing":[255],"algorithms.":[256],"suggest":[260],"multimodal-relevance-based":[265],"filtering":[266],"reranking":[268],"is":[269,375],"effective":[270],"improving":[272,299,306],"result":[273,300],"boosts":[277],"Beyond":[281],"it,":[282],"thorough":[285],"investigated":[290],"questions":[293],"related":[294],"possibility":[297],"even":[305],"sessions.":[311],"Moreover,":[312],"analyze":[314],"how":[315,326,371],"much":[316],"diversification":[318,328],"affects":[320],"session":[323,360],"approaches":[329],"behave":[330],"data":[334],"modalities.":[335],"By":[336],"analyzing":[337],"per":[341],"iteration":[343],"effectiveness,":[344],"show":[346],"introducing":[348],"may":[350],"harm":[351],"initial":[352],"whereas":[354],"it":[355],"significantly":[356],"enhances":[357],"not":[362],"only":[363],"diversity,":[368],"but":[369],"early":[372],"exposed":[376],"same":[379],"amount":[380],"relevant":[382]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
