{"id":"https://openalex.org/W4313186769","doi":"https://doi.org/10.1145/3565291.3565344","title":"An Evaluation Approach for Website Promotion Based on Combined Weight and TOPSIS","display_name":"An Evaluation Approach for Website Promotion Based on Combined Weight and TOPSIS","publication_year":2022,"publication_date":"2022-09-23","ids":{"openalex":"https://openalex.org/W4313186769","doi":"https://doi.org/10.1145/3565291.3565344"},"language":"en","primary_location":{"id":"doi:10.1145/3565291.3565344","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3565291.3565344","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 Big Data Technologies","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/A5101751609","display_name":"Xi Wang","orcid":"https://orcid.org/0000-0002-6772-1502"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xi Wang","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University, China and Intelligent Policing Key Laboratory of Sichuan Province, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University, China and Intelligent Policing Key Laboratory of Sichuan Province, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050700105","display_name":"Zhichao Chen","orcid":"https://orcid.org/0000-0003-1735-4449"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhichao Chen","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University, China and Intelligent Policing Key Laboratory of Sichuan Province, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University, China and Intelligent Policing Key Laboratory of Sichuan Province, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089779692","display_name":"Mingming Kong","orcid":"https://orcid.org/0000-0003-2869-5441"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingming Kong","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University, China and Intelligent Policing Key Laboratory of Sichuan Province, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University, China and Intelligent Policing Key Laboratory of Sichuan Province, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100734437","display_name":"Bo Li","orcid":"https://orcid.org/0000-0002-3345-8339"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Li","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University, China and Intelligent Policing Key Laboratory of Sichuan Province, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University, China and Intelligent Policing Key Laboratory of Sichuan Province, China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006466551","display_name":"Mengmeng Fan","orcid":"https://orcid.org/0000-0002-8044-6410"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengmeng Fan","raw_affiliation_strings":["School of Computer and Software Engineering, Xihua University, China and Intelligent Policing Key Laboratory of Sichuan Province, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Software Engineering, Xihua University, China and Intelligent Policing Key Laboratory of Sichuan Province, China","institution_ids":["https://openalex.org/I102345215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101751609"],"corresponding_institution_ids":["https://openalex.org/I102345215"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05756914,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":null,"first_page":"327","last_page":"331"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13955","display_name":"Evaluation Methods in Various Fields","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13955","display_name":"Evaluation Methods in Various Fields","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9397000074386597,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/topsis","display_name":"TOPSIS","score":0.8851925134658813},{"id":"https://openalex.org/keywords/analytic-hierarchy-process","display_name":"Analytic hierarchy process","score":0.8084392547607422},{"id":"https://openalex.org/keywords/ideal-solution","display_name":"Ideal solution","score":0.6789756417274475},{"id":"https://openalex.org/keywords/promotion","display_name":"Promotion (chess)","score":0.6449069976806641},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6318813562393188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.621195375919342},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5794836282730103},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4555283188819885},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.45357975363731384},{"id":"https://openalex.org/keywords/paired-comparison","display_name":"Paired comparison","score":0.4377284348011017},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42848092317581177},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.420723021030426},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.41805362701416016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3797006607055664},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3780425786972046},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3548864424228668},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29439109563827515},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.268693208694458},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14576125144958496},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10367536544799805}],"concepts":[{"id":"https://openalex.org/C51566761","wikidata":"https://www.wikidata.org/wiki/Q1235853","display_name":"TOPSIS","level":2,"score":0.8851925134658813},{"id":"https://openalex.org/C87345402","wikidata":"https://www.wikidata.org/wiki/Q485202","display_name":"Analytic hierarchy process","level":2,"score":0.8084392547607422},{"id":"https://openalex.org/C89591040","wikidata":"https://www.wikidata.org/wiki/Q1779030","display_name":"Ideal solution","level":2,"score":0.6789756417274475},{"id":"https://openalex.org/C98147612","wikidata":"https://www.wikidata.org/wiki/Q215599","display_name":"Promotion (chess)","level":3,"score":0.6449069976806641},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6318813562393188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.621195375919342},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5794836282730103},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4555283188819885},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.45357975363731384},{"id":"https://openalex.org/C3018304881","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Paired comparison","level":2,"score":0.4377284348011017},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42848092317581177},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.420723021030426},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.41805362701416016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3797006607055664},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3780425786972046},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3548864424228668},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29439109563827515},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.268693208694458},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14576125144958496},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10367536544799805},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3565291.3565344","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3565291.3565344","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 Big Data Technologies","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":9,"referenced_works":["https://openalex.org/W113907902","https://openalex.org/W2092553756","https://openalex.org/W2509007336","https://openalex.org/W2981822215","https://openalex.org/W3007454630","https://openalex.org/W4206945598","https://openalex.org/W4210308432","https://openalex.org/W4224118147","https://openalex.org/W4226347281"],"related_works":["https://openalex.org/W3006483227","https://openalex.org/W4235282010","https://openalex.org/W2293394021","https://openalex.org/W2142071684","https://openalex.org/W2322700324","https://openalex.org/W2355536739","https://openalex.org/W2560304016","https://openalex.org/W2191080415","https://openalex.org/W2056645375","https://openalex.org/W1977387692"],"abstract_inverted_index":{"In":[0],"view":[1],"of":[2,9,23,31,39,45,73,118,138],"the":[3,7,24,32,37,43,71,82,101,116,125,135],"problems":[4],"existing":[5],"in":[6],"process":[8],"website":[10,46,80,119],"promotion":[11],"evaluation,":[12],"such":[13],"as":[14],"inadequate":[15,29],"decision-making":[16],"information,":[17],"strong":[18],"subjectivity":[19],"and":[20,28,84,95,109,130],"quantification":[21],"difficulty":[22],"index":[25,77],"weight":[26],"assignment,":[27],"accuracy":[30],"selected":[33],"results.":[34],"For":[35],"realizing":[36],"goal":[38],"automatic":[40],"evaluation":[41,76],"for":[42,55,79],"performance":[44,117],"promotion,":[47,81],"we":[48],"propose":[49],"an":[50,61],"approach":[51],"based":[52,69],"on":[53,70],"Technique":[54],"Order":[56],"Preference":[57],"by":[58,89,106],"Similarity":[59],"to":[60,114],"Ideal":[62],"Solution":[63],"(TOPSIS)":[64],"through":[65],"combined":[66,102],"weights.":[67],"Specifically,":[68],"construction":[72],"a":[74],"comprehensive":[75],"system":[78],"subjective":[83],"objective":[85],"weights":[86,103],"are":[87,104,128],"determined":[88],"using":[90],"Analytic":[91],"Hierarchy":[92],"Process":[93],"(AHP)":[94],"Grey":[96],"Relational":[97],"Analysis":[98],"(GRA).":[99],"Then":[100],"obtained":[105],"Entropy":[107],"method,":[108],"finally":[110],"TOPSIS":[111],"is":[112],"used":[113],"rank":[115],"promotion.":[120],"Experimental":[121],"results":[122,127],"indicate":[123],"that":[124],"ranking":[126],"consistent,":[129],"our":[131],"method":[132],"can":[133],"achieve":[134],"greatest":[136],"degree":[137],"discrimination.":[139]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
