{"id":"https://openalex.org/W2998003252","doi":"https://doi.org/10.1109/tbdata.2020.2963982","title":"Fuzzy Deep Neural Learning Based on Goodman and Kruskal's Gamma for Search Engine Optimization","display_name":"Fuzzy Deep Neural Learning Based on Goodman and Kruskal's Gamma for Search Engine Optimization","publication_year":2020,"publication_date":"2020-01-03","ids":{"openalex":"https://openalex.org/W2998003252","doi":"https://doi.org/10.1109/tbdata.2020.2963982","mag":"2998003252"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2020.2963982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2020.2963982","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","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/A5011242892","display_name":"Sethuraman Jayaraman","orcid":null},"institutions":[{"id":"https://openalex.org/I932239252","display_name":"SASTRA University","ror":"https://ror.org/032jk8892","country_code":"IN","type":"education","lineage":["https://openalex.org/I932239252"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sethuraman Jayaraman","raw_affiliation_strings":["School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, India","institution_ids":["https://openalex.org/I932239252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027454208","display_name":"R. Manikandan","orcid":"https://orcid.org/0000-0001-6116-2132"},"institutions":[{"id":"https://openalex.org/I932239252","display_name":"SASTRA University","ror":"https://ror.org/032jk8892","country_code":"IN","type":"education","lineage":["https://openalex.org/I932239252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manikandan Ramachandran","raw_affiliation_strings":["School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"School of Computing, SASTRA Deemed University, Thanjavur, Tamil Nadu, India","institution_ids":["https://openalex.org/I932239252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050142015","display_name":"Rizwan Patan","orcid":"https://orcid.org/0000-0003-4878-1988"},"institutions":[{"id":"https://openalex.org/I116891498","display_name":"Siddhartha Medical College","ror":"https://ror.org/058pt1w78","country_code":"IN","type":"education","lineage":["https://openalex.org/I116891498"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rizwan Patan","raw_affiliation_strings":["Department of Computing Science and Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Department of Computing Science and Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, Andhra Pradesh, India","institution_ids":["https://openalex.org/I116891498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012785191","display_name":"Mahmoud Daneshmand","orcid":"https://orcid.org/0000-0002-6116-2156"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahmoud Daneshmand","raw_affiliation_strings":["Business Intelligence and Analytics, School of Business, Stevens Institute of Technology, Hoboken, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Business Intelligence and Analytics, School of Business, Stevens Institute of Technology, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039341855","display_name":"Amir H. Gandomi","orcid":"https://orcid.org/0000-0002-2798-0104"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Amir H. Gandomi","raw_affiliation_strings":["Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5011242892"],"corresponding_institution_ids":["https://openalex.org/I932239252"],"apc_list":null,"apc_paid":null,"fwci":0.8007,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78799146,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":"1","first_page":"268","last_page":"277"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9894999861717224,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9894999861717224,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9842000007629395,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9776999950408936,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8549405336380005},{"id":"https://openalex.org/keywords/spamdexing","display_name":"Spamdexing","score":0.745937705039978},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.637496829032898},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6179373264312744},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6125715970993042},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5742453336715698},{"id":"https://openalex.org/keywords/search-engine-optimization","display_name":"Search engine optimization","score":0.5570733547210693},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.5498242378234863},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.4670988917350769},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.453124076128006},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4487784802913666},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43904590606689453},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4353598952293396},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.41480833292007446},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.41125285625457764},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4072212874889374},{"id":"https://openalex.org/keywords/search-analytics","display_name":"Search analytics","score":0.3672042489051819}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8549405336380005},{"id":"https://openalex.org/C13565553","wikidata":"https://www.wikidata.org/wiki/Q804206","display_name":"Spamdexing","level":5,"score":0.745937705039978},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.637496829032898},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6179373264312744},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6125715970993042},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5742453336715698},{"id":"https://openalex.org/C178218473","wikidata":"https://www.wikidata.org/wiki/Q180711","display_name":"Search engine optimization","level":3,"score":0.5570733547210693},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.5498242378234863},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.4670988917350769},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.453124076128006},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4487784802913666},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43904590606689453},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4353598952293396},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.41480833292007446},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.41125285625457764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4072212874889374},{"id":"https://openalex.org/C14838553","wikidata":"https://www.wikidata.org/wiki/Q7441639","display_name":"Search analytics","level":4,"score":0.3672042489051819},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2020.2963982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2020.2963982","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","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":27,"referenced_works":["https://openalex.org/W2012297646","https://openalex.org/W2027111054","https://openalex.org/W2043421933","https://openalex.org/W2061027525","https://openalex.org/W2074835105","https://openalex.org/W2084405781","https://openalex.org/W2096353294","https://openalex.org/W2135097918","https://openalex.org/W2182530062","https://openalex.org/W2474263720","https://openalex.org/W2518331571","https://openalex.org/W2530271030","https://openalex.org/W2542194815","https://openalex.org/W2614327962","https://openalex.org/W2766818108","https://openalex.org/W2768276012","https://openalex.org/W2773672280","https://openalex.org/W2782475981","https://openalex.org/W2793784004","https://openalex.org/W2794430560","https://openalex.org/W2803570275","https://openalex.org/W2810219740","https://openalex.org/W2811271154","https://openalex.org/W2884761662","https://openalex.org/W2911086437","https://openalex.org/W2912449442","https://openalex.org/W3103990641"],"related_works":["https://openalex.org/W4372346753","https://openalex.org/W3100478181","https://openalex.org/W4312784821","https://openalex.org/W2751687998","https://openalex.org/W2922524414","https://openalex.org/W2996068529","https://openalex.org/W2253117853","https://openalex.org/W2561589622","https://openalex.org/W3096650445","https://openalex.org/W2227686825"],"abstract_inverted_index":{"Search":[0],"engine":[1,15,35],"optimization":[2,36],"(SEO)":[3],"is":[4,46,61,165],"a":[5,10,72,174],"significant":[6],"problem":[7],"for":[8],"enhancing":[9],"website&#x0027;s":[11],"visibility":[12],"with":[13,171],"search":[14,34,134],"results.":[16],"SEO":[17],"issues,":[18],"such":[19,190],"as":[20,77,191],"Site":[21],"Popularity,":[22],"Content":[23],"Quality,":[24],"Keyword":[25],"Density,":[26],"and":[27,83,126,140,195],"Publicity,":[28],"were":[29],"not":[30],"considered":[31],"during":[32],"the":[33,39,43,68,80,95,108,111,119,133,147,154,168],"process.":[37],"Therefore,":[38],"retrieval":[40,192],"rate":[41],"of":[42,74,128,176],"existing":[44,184],"techniques":[45],"inadequate.":[47],"In":[48],"this":[49],"study,":[50],"Triangular":[51],"Fuzzy":[52],"Deep":[53],"Structured":[54],"Learning-Based":[55],"Predictive":[56,143],"Page":[57],"Ranking":[58,144],"(TFDSL-PPR)":[59],"technique":[60,70,164],"proposed":[62,162],"to":[63,92,167,173],"solve":[64],"these":[65],"limitations.":[66],"First,":[67],"TFDSL-PPR":[69,163],"takes":[71],"number":[73],"user":[75,112,177],"queries":[76],"input":[78,81,101],"in":[79,90,132,146],"layer,":[82,150],"then":[84,137],"it":[85,152],"employs":[86],"four":[87],"hidden":[88,105,116,149],"layers":[89],"order":[91],"deeply":[93],"analyze":[94],"web":[96,130,155],"pages":[97,131,156],"based":[98,186],"on":[99,187],"an":[100],"query.":[102,113],"The":[103,114,161,179],"first":[104],"layer":[106,117],"determines":[107],"keywords":[109],"from":[110],"second":[115],"measures":[118],"site":[120],"popularity,":[121],"content":[122],"quality,":[123],"keyword":[124],"density":[125],"publicity":[127],"all":[129],"engine.":[135],"It":[136],"accomplishes":[138],"Goodman":[139],"Kruskal&#x0027;s":[141],"Gamma":[142],"process":[145],"third":[148],"where":[151],"ranks":[153],"by":[157,183],"considering":[158],"their":[159],"similarities.":[160],"applied":[166],"ClueWeb09":[169],"Dataset":[170],"respect":[172],"variety":[175],"queries.":[178],"results":[180],"are":[181],"benchmarked":[182],"methods":[185],"several":[188],"metrics":[189],"rate,":[193],"time,":[194],"false-positive":[196],"rate.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
