{"id":"https://openalex.org/W2146537999","doi":"https://doi.org/10.1109/isda.2010.5687203","title":"Improved relevance feedback using density-based clustering","display_name":"Improved relevance feedback using density-based clustering","publication_year":2010,"publication_date":"2010-11-01","ids":{"openalex":"https://openalex.org/W2146537999","doi":"https://doi.org/10.1109/isda.2010.5687203","mag":"2146537999"},"language":"en","primary_location":{"id":"doi:10.1109/isda.2010.5687203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2010.5687203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 10th International Conference on Intelligent Systems Design and Applications","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/A5111452036","display_name":"Kareem Darwish","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kareem Darwish","raw_affiliation_strings":["Cairo Microsoft Innovation Center, Cairo, Egypt","Cairo Microsoft Innovation Center, Cairo, Egypt#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cairo Microsoft Innovation Center, Cairo, Egypt","institution_ids":[]},{"raw_affiliation_string":"Cairo Microsoft Innovation Center, Cairo, Egypt#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039689327","display_name":"Ahmed El Deeb","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed El Deeb","raw_affiliation_strings":["Cairo Microsoft Innovation Center, Cairo, Egypt","Cairo Microsoft Innovation Center, Cairo, Egypt#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cairo Microsoft Innovation Center, Cairo, Egypt","institution_ids":[]},{"raw_affiliation_string":"Cairo Microsoft Innovation Center, Cairo, Egypt#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079820394","display_name":"Noha A. Yousri","orcid":"https://orcid.org/0000-0003-1918-0331"},"institutions":[{"id":"https://openalex.org/I84524832","display_name":"Alexandria University","ror":"https://ror.org/00mzz1w90","country_code":"EG","type":"education","lineage":["https://openalex.org/I84524832"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Noha A. Yousri","raw_affiliation_strings":["Computer and System Engineering, Faculty of Engineering, Alexandria University, Egypt","Computer and System Engineering, Faculty of Engineering, Alexandria University, Egypt#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer and System Engineering, Faculty of Engineering, Alexandria University, Egypt","institution_ids":["https://openalex.org/I84524832"]},{"raw_affiliation_string":"Computer and System Engineering, Faculty of Engineering, Alexandria University, Egypt#TAB#","institution_ids":["https://openalex.org/I84524832"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039318050","display_name":"Mohamed S. Kamel","orcid":"https://orcid.org/0000-0001-6173-8082"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohamed S. Kamel","raw_affiliation_strings":["Electrical and Computer Engineering, University of Waterloo, Canada","[Electrical & Computer Engineering, University of Waterloo, Canada]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"[Electrical & Computer Engineering, University of Waterloo, Canada]","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"580","last_page":"585"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9991999864578247,"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":0.9991999864578247,"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/T11106","display_name":"Data Management and Algorithms","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9858999848365784,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8459979891777039},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.728958785533905},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6845062375068665},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6503840088844299},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.609612226486206},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5784525871276855},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5470588207244873},{"id":"https://openalex.org/keywords/diversification","display_name":"Diversification (marketing strategy)","score":0.4729737341403961},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4538109302520752},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44121918082237244},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3256112337112427}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8459979891777039},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.728958785533905},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6845062375068665},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6503840088844299},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.609612226486206},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5784525871276855},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5470588207244873},{"id":"https://openalex.org/C180916674","wikidata":"https://www.wikidata.org/wiki/Q3711935","display_name":"Diversification (marketing strategy)","level":2,"score":0.4729737341403961},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4538109302520752},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44121918082237244},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3256112337112427},{"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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","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/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isda.2010.5687203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2010.5687203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 10th International Conference on Intelligent Systems Design and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1532325895","https://openalex.org/W1602667807","https://openalex.org/W1635061336","https://openalex.org/W1651093245","https://openalex.org/W1673310716","https://openalex.org/W1980730196","https://openalex.org/W1989885825","https://openalex.org/W1993320088","https://openalex.org/W2027827699","https://openalex.org/W2037098674","https://openalex.org/W2041565863","https://openalex.org/W2046020226","https://openalex.org/W2067021889","https://openalex.org/W2074449313","https://openalex.org/W2083305840","https://openalex.org/W2087663869","https://openalex.org/W2100419635","https://openalex.org/W2130395434","https://openalex.org/W2131381130","https://openalex.org/W2153116343","https://openalex.org/W2160642098","https://openalex.org/W2197919320","https://openalex.org/W2643544958","https://openalex.org/W2905980815","https://openalex.org/W3138773240","https://openalex.org/W4213009331","https://openalex.org/W4230624213","https://openalex.org/W6636119244","https://openalex.org/W6636783477","https://openalex.org/W6637131181","https://openalex.org/W6637231022","https://openalex.org/W6661805154"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2150136235","https://openalex.org/W2053591227","https://openalex.org/W2581240705","https://openalex.org/W2041353081","https://openalex.org/W2568183987"],"abstract_inverted_index":{"Relevance":[0],"feedback":[1],"(RFB)":[2],"involves":[3],"requesting":[4],"some":[5],"user":[6,58],"judgments":[7,19],"for":[8,98,116],"an":[9,132],"initial":[10,133],"set":[11],"of":[12,35,68,95,101,107,164],"search":[13,22,45],"results":[14,46,64,85,102,130,142,150,158],"and":[15,136],"then":[16],"using":[17,139,145],"these":[18],"to":[20,39,65,75,79,86,123,138],"improve":[21],"results.":[23],"Typical":[24],"queries":[25],"may":[26,47,70],"have":[27],"multiple":[28,88],"possible":[29],"interpretations":[30],"or":[31,53],"facets,":[32],"only":[33,60],"one":[34,51],"which":[36],"is":[37,59,78,121],"relevant":[38],"a":[40,117,124,160],"user's":[41],"need,":[42],"but":[43],"top":[44,63,83,129,141],"be":[48,71],"dominated":[49],"by":[50],"interpretation":[52],"facet.":[54],"Thus,":[55],"if":[56],"the":[57,62,82,93,99,105,128,140,156,167],"given":[61],"inspect,":[66],"none":[67],"them":[69],"relevant.":[72],"One":[73],"way":[74],"solve":[76],"this":[77],"intentionally":[80],"diversify":[81],"few":[84],"cover":[87],"interpretations.":[89],"This":[90],"paper":[91],"proposes":[92],"use":[94],"density-based":[96,153],"clustering":[97,111,154],"purpose":[100],"diversification":[103],"in":[104],"context":[106],"RFB.":[108],"Other":[109],"traditional":[110],"algorithms":[112],"are":[113],"also":[114],"used":[115],"comparative":[118],"study.":[119],"Clustering":[120],"compared":[122,137],"baseline":[125],"that":[126,152],"nominates":[127],"from":[131],"ranked":[134],"list":[135],"after":[143],"re-ranking":[144],"Maximal":[146],"Marginal":[147],"Relevance.":[148],"The":[149],"show":[151],"achieves":[155],"best":[157],"with":[159],"statistically":[161],"significant":[162],"improvement":[163],"12%":[165],"over":[166],"baseline.":[168]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
