{"id":"https://openalex.org/W2124560939","doi":"https://doi.org/10.1142/s0219265913500035","title":"COMPARING SYSTEM SELECTION METHODS FOR THE COMBINATORIAL FUSION OF MULTIPLE RETRIEVAL SYSTEMS","display_name":"COMPARING SYSTEM SELECTION METHODS FOR THE COMBINATORIAL FUSION OF MULTIPLE RETRIEVAL SYSTEMS","publication_year":2013,"publication_date":"2013-03-01","ids":{"openalex":"https://openalex.org/W2124560939","doi":"https://doi.org/10.1142/s0219265913500035","mag":"2124560939"},"language":"en","primary_location":{"id":"doi:10.1142/s0219265913500035","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219265913500035","pdf_url":null,"source":{"id":"https://openalex.org/S63112013","display_name":"Journal of Interconnection Networks","issn_l":"0219-2659","issn":["0219-2659","1793-6713"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Interconnection Networks","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/A5033339574","display_name":"Chunyi Liu","orcid":"https://orcid.org/0009-0005-7030-0310"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"CHUN-YI LIU","raw_affiliation_strings":["Department of Computer Science, National Tshing Hua University, HsinChu 30013, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tshing Hua University, HsinChu 30013, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100870826","display_name":"Chuan-Yi Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I177918364","display_name":"Providence University","ror":"https://ror.org/03fcpsq87","country_code":"TW","type":"education","lineage":["https://openalex.org/I177918364"]},{"id":"https://openalex.org/I196272386","display_name":"Providence College","ror":"https://ror.org/00rxpqe74","country_code":"US","type":"education","lineage":["https://openalex.org/I196272386"]}],"countries":["TW","US"],"is_corresponding":false,"raw_author_name":"CHUAN-YI TANG","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Providence University, TaiChung City 43301, Taiwan","Department of Computer Science and Information Engineering, Providence University, Taichung City, 43301, Taiwan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Providence University, TaiChung City 43301, Taiwan","institution_ids":["https://openalex.org/I177918364"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Providence University, Taichung City, 43301, Taiwan#TAB#","institution_ids":["https://openalex.org/I196272386"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101962233","display_name":"D. Frank Hsu","orcid":"https://orcid.org/0000-0003-0468-0843"},"institutions":[{"id":"https://openalex.org/I164389053","display_name":"Fordham University","ror":"https://ror.org/03qnxaf80","country_code":"US","type":"education","lineage":["https://openalex.org/I164389053"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. FRANK HSU","raw_affiliation_strings":["Department of Computer and Information Science, Fordham University, New York, NY 10023, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Fordham University, New York, NY 10023, USA","institution_ids":["https://openalex.org/I164389053"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033339574"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":0.809,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.83294122,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"14","issue":"01","first_page":"1350003","last_page":"1350003"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.989300012588501,"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":0.989300012588501,"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":0.989300012588501,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9661999940872192,"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":0.7243088483810425},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6342039704322815},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5933915972709656},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5284390449523926},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5155710577964783},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.4841671586036682},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3931574821472168},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3726920485496521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3524583578109741},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1399991512298584}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7243088483810425},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6342039704322815},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5933915972709656},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5284390449523926},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5155710577964783},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.4841671586036682},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3931574821472168},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3726920485496521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3524583578109741},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1399991512298584},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219265913500035","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219265913500035","pdf_url":null,"source":{"id":"https://openalex.org/S63112013","display_name":"Journal of Interconnection Networks","issn_l":"0219-2659","issn":["0219-2659","1793-6713"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Interconnection Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W31622492","https://openalex.org/W36338425","https://openalex.org/W173282631","https://openalex.org/W207051127","https://openalex.org/W1479936519","https://openalex.org/W1487942432","https://openalex.org/W1507114614","https://openalex.org/W1524940700","https://openalex.org/W1552863221","https://openalex.org/W2001537781","https://openalex.org/W2013614938","https://openalex.org/W2018684241","https://openalex.org/W2020237802","https://openalex.org/W2020553602","https://openalex.org/W2030686695","https://openalex.org/W2032459394","https://openalex.org/W2042024605","https://openalex.org/W2060494110","https://openalex.org/W2071078065","https://openalex.org/W2077366270","https://openalex.org/W2078396654","https://openalex.org/W2080982083","https://openalex.org/W2084457609","https://openalex.org/W2088663495","https://openalex.org/W2090805977","https://openalex.org/W2091723491","https://openalex.org/W2125887389","https://openalex.org/W2128073546","https://openalex.org/W2129451824","https://openalex.org/W2131272972","https://openalex.org/W2131874821","https://openalex.org/W2137670231","https://openalex.org/W2141527751","https://openalex.org/W2141623655","https://openalex.org/W2143369964","https://openalex.org/W2147042673","https://openalex.org/W2159529648","https://openalex.org/W2164568552","https://openalex.org/W2170907675","https://openalex.org/W2220554853","https://openalex.org/W2477850881","https://openalex.org/W4212774754","https://openalex.org/W4253863064"],"related_works":["https://openalex.org/W2978999882","https://openalex.org/W2153369162","https://openalex.org/W2181392282","https://openalex.org/W2119369480","https://openalex.org/W3141031773","https://openalex.org/W1595686156","https://openalex.org/W148937441","https://openalex.org/W4367046737","https://openalex.org/W2152992791","https://openalex.org/W141689456"],"abstract_inverted_index":{"Combining":[0],"multiple":[1,180],"information":[2],"retrieval":[3,181],"(IR)":[4],"systems":[5,30,69,94,147,155],"has":[6],"been":[7],"shown":[8],"to":[9,21,32,116],"improve":[10],"performance":[11,64,76,97,102,133,150,159],"over":[12],"individual":[13,29],"systems.":[14,182],"However,":[15],"it":[16],"remains":[17],"a":[18,26,170],"challenging":[19],"problem":[20],"determine":[22],"when":[23,153],"and":[24,46,57,95,104,107,121,124],"how":[25],"set":[27],"of":[28,65,92,101,111,126,129,143,173,179],"should":[31],"be":[33],"combined.":[34],"In":[35,59],"this":[36],"paper,":[37],"we":[38,61],"investigate":[39],"these":[40,79],"issues":[41],"using":[42,118],"combinatorial":[43,109],"fusion":[44,110],"analysis":[45],"five":[47,80],"data":[48,82],"sets":[49],"provide":[50],"by":[51,71,75,158,164],"TREC":[52,81],"2,":[53],"3,":[54],"4,":[55],"5,":[56],"6.":[58],"particular,":[60],"compare":[62],"the":[63,127,132,149,154,177],"combining":[66],"six":[67],"IR":[68],"selected":[70,157,163],"random":[72,165],"choice":[73],"vs.":[74],"measurement":[77],"from":[78],"sets.":[83],"Two":[84],"experiments":[85,140],"are":[86,156],"conducted,":[87],"which":[88],"include:":[89],"(1)":[90],"combination":[91,142,178],"two":[93,144],"their":[96],"outcome":[98],"in":[99,138],"terms":[100],"ratio":[103],"cognitive":[105],"diversity,":[106],"(2)":[108],"t-systems,":[112],"t":[113],"=":[114],"2":[115],"6,":[117],"both":[119,139],"score":[120],"rank":[122],"combinations":[123],"exploration":[125],"effect":[128],"diversity":[130],"on":[131],"outcome.":[134],"It":[135],"is":[136],"demonstrated":[137],"that":[141],"or":[145],"more":[146,151],"improves":[148],"significantly":[152],"evaluation":[160],"than":[161],"those":[162],"choice.":[166],"Our":[167],"work":[168],"provides":[169],"distinctive":[171],"method":[172],"system":[174],"selection":[175],"for":[176]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}