{"id":"https://openalex.org/W2032780813","doi":"https://doi.org/10.1145/1968613.1968696","title":"Exploiting user feedback to improve quality of search results clustering","display_name":"Exploiting user feedback to improve quality of search results clustering","publication_year":2011,"publication_date":"2011-02-21","ids":{"openalex":"https://openalex.org/W2032780813","doi":"https://doi.org/10.1145/1968613.1968696","mag":"2032780813"},"language":"en","primary_location":{"id":"doi:10.1145/1968613.1968696","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1968613.1968696","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication","raw_type":"proceedings-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/A5062285899","display_name":"Inbeom Hwang","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Inbeom Hwang","raw_affiliation_strings":["Seoul National University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042350842","display_name":"Minsuk Kahng","orcid":"https://orcid.org/0000-0002-0291-6026"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minsuk Kahng","raw_affiliation_strings":["Seoul National University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102802605","display_name":"Sang\u2010goo Lee","orcid":"https://orcid.org/0000-0002-0063-0083"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang-goo Lee","raw_affiliation_strings":["Seoul National University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062285899"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":1.4779,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.8772656,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9993000030517578,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9993000030517578,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9968000054359436,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9947999715805054,"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":0.8856638669967651},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7685781717300415},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6097867488861084},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5685316324234009},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5505292415618896},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5251272320747375},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.5084818601608276},{"id":"https://openalex.org/keywords/consensus-clustering","display_name":"Consensus clustering","score":0.47963815927505493},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.4587985873222351},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4497402608394623},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.433242529630661},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4200456440448761},{"id":"https://openalex.org/keywords/document-clustering","display_name":"Document clustering","score":0.41608190536499023},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31693410873413086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3094857335090637},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.248011976480484}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8856638669967651},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7685781717300415},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6097867488861084},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5685316324234009},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5505292415618896},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5251272320747375},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.5084818601608276},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.47963815927505493},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.4587985873222351},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4497402608394623},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.433242529630661},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4200456440448761},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.41608190536499023},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31693410873413086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3094857335090637},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.248011976480484},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1968613.1968696","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1968613.1968696","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication","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":16,"referenced_works":["https://openalex.org/W190289764","https://openalex.org/W1552319112","https://openalex.org/W1972645849","https://openalex.org/W1973513715","https://openalex.org/W1996764654","https://openalex.org/W2021457058","https://openalex.org/W2070214199","https://openalex.org/W2074449313","https://openalex.org/W2095478124","https://openalex.org/W2110441437","https://openalex.org/W2121996546","https://openalex.org/W2142144955","https://openalex.org/W2149177634","https://openalex.org/W2159094788","https://openalex.org/W2160799467","https://openalex.org/W4241122026"],"related_works":["https://openalex.org/W2406185607","https://openalex.org/W2160422165","https://openalex.org/W4230135178","https://openalex.org/W2067669858","https://openalex.org/W2965089876","https://openalex.org/W2070154563","https://openalex.org/W1518853531","https://openalex.org/W2388448706","https://openalex.org/W2355249400","https://openalex.org/W4388110928"],"abstract_inverted_index":{"Search":[0],"result":[1,28],"clustering":[2,23,29,51],"provides":[3],"an":[4],"intuitive":[5],"overview":[6],"toward":[7],"information":[8,76,90],"contained":[9],"in":[10],"the":[11,70,83],"search":[12,27,32],"result.":[13],"The":[14],"goal":[15],"of":[16,60,66],"this":[17],"research":[18],"is":[19],"to":[20,25,77,86,91,97],"implement":[21],"a":[22],"engine":[24],"provide":[26],"for":[30,49,56,107],"various":[31],"tasks":[33],"retrieving":[34],"items,":[35],"or":[36],"objects":[37],"whose":[38],"contents":[39],"do":[40],"not":[41,54],"contain":[42],"descriptive":[43],"text.":[44],"Content-based":[45],"similarity":[46,79,93,102],"measures":[47],"used":[48],"traditional":[50],"engines":[52],"are":[53],"suitable":[55,106],"general":[57,95],"measure,":[58],"because":[59],"its":[61],"domain-specific":[62],"nature":[63],"and":[64,104],"lack":[65],"descriptiveness.":[67],"To":[68],"remedy":[69],"problems,":[71],"we":[72,100],"exploit":[73],"user":[74,88],"feedback":[75,89],"measure":[78,92],"between":[80,94],"items.":[81],"As":[82],"first":[84],"approach":[85],"use":[87],"items":[96],"cluster":[98],"them,":[99],"explore":[101],"models":[103],"algorithms":[105],"clustering.":[108]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}