{"id":"https://openalex.org/W2896736136","doi":"https://doi.org/10.1145/3269206.3269220","title":"Exploring Diversified Similarity with Kundaha","display_name":"Exploring Diversified Similarity with Kundaha","publication_year":2018,"publication_date":"2018-10-17","ids":{"openalex":"https://openalex.org/W2896736136","doi":"https://doi.org/10.1145/3269206.3269220","mag":"2896736136"},"language":"en","primary_location":{"id":"doi:10.1145/3269206.3269220","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3269206.3269220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th 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/A5090817031","display_name":"L\u00facio F. D. Santos","orcid":"https://orcid.org/0000-0002-0495-4763"},"institutions":[{"id":"https://openalex.org/I140062455","display_name":"Instituto Federal de Educa\u00e7\u00e3o, Ci\u00eancia e Tecnologia de Minas Gerais","ror":"https://ror.org/0553w5c95","country_code":"BR","type":"education","lineage":["https://openalex.org/I1293487690","https://openalex.org/I140062455","https://openalex.org/I2801200668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Lucio F. D. Santos","raw_affiliation_strings":["Fed. Inst. of N. Minas Gerais, Montes Claros/MG, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fed. Inst. of N. Minas Gerais, Montes Claros/MG, Brazil","institution_ids":["https://openalex.org/I140062455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019253923","display_name":"Gustavo Blanco","orcid":null},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Gustavo Blanco","raw_affiliation_strings":["University of Sao Paulo, Sao Carlos/SP, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sao Paulo, Sao Carlos/SP, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050455034","display_name":"Daniel de Oliveira","orcid":"https://orcid.org/0000-0001-9346-7651"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Daniel de Oliveira","raw_affiliation_strings":["Fluminense Federal University, Niteroi/RJ, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fluminense Federal University, Niteroi/RJ, Brazil","institution_ids":["https://openalex.org/I161127581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014783020","display_name":"Agma J. M. Traina","orcid":"https://orcid.org/0000-0003-4929-7258"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Agma J. M. Traina","raw_affiliation_strings":["University of Sao Paulo, Sao Carlos/SP, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sao Paulo, Sao Carlos/SP, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020611078","display_name":"Caetano Traina","orcid":"https://orcid.org/0000-0002-6625-6047"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Caetano Traina Jr.","raw_affiliation_strings":["University of Sao Paulo, Sao Carlos/SP, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sao Paulo, Sao Carlos/SP, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059265259","display_name":"Marcos Bedo","orcid":"https://orcid.org/0000-0003-2198-4670"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcos V. N. Bedo","raw_affiliation_strings":["Fluminense Federal University, St. A. Padua/RJ, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fluminense Federal University, St. A. Padua/RJ, Brazil","institution_ids":["https://openalex.org/I161127581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3803,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.71865421,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1903","last_page":"1906"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9983000159263611,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8007296323776245},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.7916374206542969},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7894490361213684},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7185170650482178},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6536471843719482},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6220784783363342},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5652199983596802},{"id":"https://openalex.org/keywords/result-set","display_name":"Result set","score":0.564767599105835},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.5638095736503601},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48771795630455017},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.31763604283332825},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2980927526950836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23941117525100708}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8007296323776245},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.7916374206542969},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7894490361213684},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7185170650482178},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6536471843719482},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6220784783363342},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5652199983596802},{"id":"https://openalex.org/C4969071","wikidata":"https://www.wikidata.org/wiki/Q7316353","display_name":"Result set","level":3,"score":0.564767599105835},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.5638095736503601},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48771795630455017},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.31763604283332825},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2980927526950836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23941117525100708},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3269206.3269220","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3269206.3269220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W299839057","https://openalex.org/W1972312663","https://openalex.org/W1990473707","https://openalex.org/W2009630144","https://openalex.org/W2068698433","https://openalex.org/W2149547418","https://openalex.org/W2163508424","https://openalex.org/W2522444422","https://openalex.org/W2539104130","https://openalex.org/W2666919929"],"related_works":["https://openalex.org/W1606474234","https://openalex.org/W2034539438","https://openalex.org/W2124645781","https://openalex.org/W2184057774","https://openalex.org/W2162645796","https://openalex.org/W2543381692","https://openalex.org/W1975659822","https://openalex.org/W3087943932","https://openalex.org/W2349022781","https://openalex.org/W2168747791"],"abstract_inverted_index":{"Exploring":[0],"large":[1],"medical":[2],"image":[3],"sets":[4,79],"by":[5],"means":[6],"of":[7,46,55,77],"traditional":[8],"similarity":[9,44,71],"query":[10,62],"criteria":[11,72],"(e.g.,":[12],"neighborhood)":[13],"can":[14,65],"be":[15],"fruitless":[16],"if":[17],"retrieved":[18],"images":[19],"are":[20],"too":[21],"similar":[22],"among":[23],"themselves.":[24],"This":[25],"demonstration":[26],"introduces":[27],"Kundaha,":[28],"an":[29],"exploration":[30,76],"tool":[31],"that":[32],"assists":[33],"experts":[34],"in":[35],"retrieving":[36],"and":[37,58,80],"navigating":[38],"on":[39],"results":[40],"from":[41],"a":[42,52],"diversified":[43,70],"perspective":[45],"user-posed":[47],"queries.":[48],"Its":[49],"implementation":[50],"includes":[51],"wide":[53],"set":[54],"metrics,":[56],"descriptors,":[57],"indexes":[59],"for":[60,73,86],"enhancing":[61],"execution.":[63],"Users":[64],"combine":[66],"such":[67],"features":[68],"with":[69],"the":[74],"organized":[75],"result":[78],"also":[81],"employ":[82],"relevance":[83],"feedback":[84],"cycles":[85],"finding":[87],"new":[88],"query-based":[89],"viewpoints.":[90]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
