{"id":"https://openalex.org/W3081985460","doi":"https://doi.org/10.1109/access.2020.3019394","title":"Clustering on Ranked Data for Campaign Selection","display_name":"Clustering on Ranked Data for Campaign Selection","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3081985460","doi":"https://doi.org/10.1109/access.2020.3019394","mag":"3081985460"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3019394","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3019394","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09184884.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09184884.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081316458","display_name":"Umang Gupta","orcid":"https://orcid.org/0000-0003-1263-8813"},"institutions":[{"id":"https://openalex.org/I115715567","display_name":"Birla Institute of Technology, Mesra","ror":"https://ror.org/028vtqb15","country_code":"IN","type":"education","lineage":["https://openalex.org/I115715567"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Umang Gupta","raw_affiliation_strings":["Department of Computer Science and Engineering, Birla Institute of Technology, Ranchi, India"],"raw_orcid":"https://orcid.org/0000-0003-1263-8813","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Birla Institute of Technology, Ranchi, India","institution_ids":["https://openalex.org/I115715567"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111388619","display_name":"Vandana Bhattacherjee","orcid":null},"institutions":[{"id":"https://openalex.org/I115715567","display_name":"Birla Institute of Technology, Mesra","ror":"https://ror.org/028vtqb15","country_code":"IN","type":"education","lineage":["https://openalex.org/I115715567"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vandana Bhattacherjee","raw_affiliation_strings":["Department of Computer Science and Engineering, Birla Institute of Technology, Ranchi, India"],"raw_orcid":"https://orcid.org/0000-0002-0680-2691","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Birla Institute of Technology, Ranchi, India","institution_ids":["https://openalex.org/I115715567"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063958309","display_name":"Partha Sarathi Bishnu","orcid":"https://orcid.org/0000-0001-5143-6195"},"institutions":[{"id":"https://openalex.org/I115715567","display_name":"Birla Institute of Technology, Mesra","ror":"https://ror.org/028vtqb15","country_code":"IN","type":"education","lineage":["https://openalex.org/I115715567"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Partha Sarathi Bishnu","raw_affiliation_strings":["Department of Computer Science and Engineering, Birla Institute of Technology, Ranchi, India"],"raw_orcid":"https://orcid.org/0000-0001-5143-6195","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Birla Institute of Technology, Ranchi, India","institution_ids":["https://openalex.org/I115715567"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081316458"],"corresponding_institution_ids":["https://openalex.org/I115715567"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14971048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"162421","last_page":"162431"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9617999792098999,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.941100001335144,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.834275484085083},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6988376975059509},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6193943619728088},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5582816004753113},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5344539880752563},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.5006844997406006},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4653957784175873},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46184155344963074},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4337036609649658},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4221409857273102},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3598752021789551},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2214374840259552},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.20262065529823303},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1702972948551178},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.07879728078842163}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.834275484085083},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6988376975059509},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6193943619728088},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5582816004753113},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5344539880752563},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.5006844997406006},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4653957784175873},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46184155344963074},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4337036609649658},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4221409857273102},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3598752021789551},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2214374840259552},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.20262065529823303},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1702972948551178},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.07879728078842163},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3019394","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3019394","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09184884.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f93439b384e8425b9606632f60fd05aa","is_oa":true,"landing_page_url":"https://doaj.org/article/f93439b384e8425b9606632f60fd05aa","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 162421-162431 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3019394","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3019394","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09184884.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3081985460.pdf","grobid_xml":"https://content.openalex.org/works/W3081985460.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W87092222","https://openalex.org/W332214200","https://openalex.org/W1596709027","https://openalex.org/W1600537614","https://openalex.org/W1963988642","https://openalex.org/W1966729776","https://openalex.org/W1985514943","https://openalex.org/W1987971958","https://openalex.org/W1989270503","https://openalex.org/W1994294106","https://openalex.org/W2028664571","https://openalex.org/W2056624866","https://openalex.org/W2089889768","https://openalex.org/W2106351931","https://openalex.org/W2127218421","https://openalex.org/W2145793758","https://openalex.org/W2149230623","https://openalex.org/W2150735632","https://openalex.org/W2166674691","https://openalex.org/W2250553894","https://openalex.org/W2299122692","https://openalex.org/W2325622116","https://openalex.org/W2335008321","https://openalex.org/W2415715393","https://openalex.org/W2591935254","https://openalex.org/W2809034148","https://openalex.org/W2945634346","https://openalex.org/W2997770686","https://openalex.org/W3124312273","https://openalex.org/W4256046779","https://openalex.org/W4290379643","https://openalex.org/W6611373715","https://openalex.org/W6678914141","https://openalex.org/W6691663281","https://openalex.org/W6762833281"],"related_works":["https://openalex.org/W2504004674","https://openalex.org/W2024638892","https://openalex.org/W2498744856","https://openalex.org/W763418848","https://openalex.org/W1595229445","https://openalex.org/W149041114","https://openalex.org/W2040498587","https://openalex.org/W1494981348","https://openalex.org/W3160516639","https://openalex.org/W2259967567"],"abstract_inverted_index":{"Recently":[0],"the":[1,8,15,21,37,89,101,123,127,150],"ranked":[2,51,102],"data":[3,52,81,103],"are":[4,33,53,83],"commonly":[5],"seen":[6],"in":[7,20,84,129],"era":[9],"of":[10,23,25,28,45,49,69,152],"Internet":[11],"and":[12,147],"e-commerce":[13],"where":[14],"consumers":[16,32],"give":[17],"their":[18,43],"opinion":[19],"form":[22],"ranks":[24,38],"a":[26],"set":[27],"items":[29,40],"online.":[30],"The":[31,47,67],"asked":[34],"to":[35,42,73],"put":[36],"on":[39,143],"according":[41],"order":[44],"preference.":[46],"applications":[48],"clustering":[50,79,138],"target":[54],"marketing,":[55],"campaign":[56,75,130],"selection,":[57],"top":[58],"<inline-formula":[59],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[60],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[61],"<tex-math":[62],"notation=\"LaTeX\">$k$":[63],"</tex-math></inline-formula>":[64],"-items,":[65],"etc.":[66],"objective":[68],"this":[70],"paper":[71],"is":[72],"implement":[74,88],"selection":[76,131],"process":[77],"using":[78],"feedback":[80],"which":[82],"rank":[85],"ordered.":[86],"To":[87],"proposed":[90,137,154],"method":[91],"we":[92],"divide":[93],"our":[94,136,153],"experiments":[95],"into":[96],"two":[97],"parts":[98],"first,":[99],"group":[100],"(consumer":[104],"feedback),":[105],"by":[106],"applying":[107],"different":[108,144],"distance":[109],"calculations,":[110],"e.g.,":[111],"Kendall\u2019s":[112],"tau,":[113],"Spearman\u2019s":[114,117],"rho":[115],"square,":[116],"footrule,":[118],"Cayley\u2019s":[119],"distance.":[120],"Second,":[121],"use":[122],"knowledge":[124],"derived":[125],"from":[126],"groups":[128],"process.":[132],"We":[133],"have":[134],"compared":[135],"algorithm":[139],"with":[140],"existing":[141],"algorithms":[142],"real":[145],"datasets,":[146],"results":[148],"showed":[149],"effectiveness":[151],"algorithm.":[155]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
