{"id":"https://openalex.org/W1984179075","doi":"https://doi.org/10.4304/jcp.9.10.2328-2334","title":"A Robust Collaborative Recommendation Algorithm Incorporating Trustworthy Neighborhood Model","display_name":"A Robust Collaborative Recommendation Algorithm Incorporating Trustworthy Neighborhood Model","publication_year":2014,"publication_date":"2014-10-30","ids":{"openalex":"https://openalex.org/W1984179075","doi":"https://doi.org/10.4304/jcp.9.10.2328-2334","mag":"1984179075"},"language":"en","primary_location":{"id":"doi:10.4304/jcp.9.10.2328-2334","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.9.10.2328-2334","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","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/A5111782418","display_name":"Dongyan Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Dongyan","raw_affiliation_strings":["Sch. of Inf. Sci. & Eng., Yanshan Univ., Qinhuangdao"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sch. of Inf. Sci. & Eng., Yanshan Univ., Qinhuangdao","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zhang Fuzhi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210154792","display_name":"Virtual Technology (United States)","ror":"https://ror.org/054grzz74","country_code":"US","type":"company","lineage":["https://openalex.org/I4210154792"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhang Fuzhi","raw_affiliation_strings":["The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, Qinhuangdao"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, Qinhuangdao","institution_ids":["https://openalex.org/I4210154792"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.14954953,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"9","issue":"10","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9945999979972839,"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"}},{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9933000206947327,"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/trustworthiness","display_name":"Trustworthiness","score":0.8671956658363342},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7176554203033447},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4470135271549225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41036418080329895},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37164759635925293},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3365626931190491},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.1018114686012268}],"concepts":[{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.8671956658363342},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7176554203033447},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4470135271549225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41036418080329895},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37164759635925293},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3365626931190491},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.1018114686012268}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jcp.9.10.2328-2334","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.9.10.2328-2334","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","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":24,"referenced_works":["https://openalex.org/W1724456722","https://openalex.org/W1725202765","https://openalex.org/W1980122825","https://openalex.org/W1980202081","https://openalex.org/W1990929462","https://openalex.org/W1994389483","https://openalex.org/W1996717570","https://openalex.org/W1999750135","https://openalex.org/W2004149199","https://openalex.org/W2004349161","https://openalex.org/W2020701179","https://openalex.org/W2025605741","https://openalex.org/W2054141820","https://openalex.org/W2070375326","https://openalex.org/W2080320419","https://openalex.org/W2080859275","https://openalex.org/W2142651607","https://openalex.org/W2144182447","https://openalex.org/W2356179871","https://openalex.org/W2370915930","https://openalex.org/W3037946710","https://openalex.org/W6650630306","https://openalex.org/W6706366318","https://openalex.org/W6708885747"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3209574120","https://openalex.org/W3107602296","https://openalex.org/W4312192474","https://openalex.org/W4210805261","https://openalex.org/W4387297750"],"abstract_inverted_index":{"The":[0],"conventional":[1],"collaborative":[2,24,116,160],"recommendation":[3,25,117,123,161],"algorithms":[4],"are":[5],"quite":[6],"vulnerable":[7],"to":[8,36,119],"user":[9,127],"profile":[10],"injection":[11],"attacks.":[12],"To":[13],"solve":[14],"this":[15,18],"problem,":[16],"in":[17,155],"paper":[19],"we":[20,32,65,94,112],"propose":[21,83,95],"a":[22,34,84,96,114],"robust":[23,115],"algorithm":[26,118,151],"incorporating":[27,88],"trustworthy":[28,97,138],"neighborhood":[29,98,139],"model.":[30,110,140],"Firstly,":[31],"present":[33],"method":[35],"calculate":[37],"the":[38,45,50,55,67,76,102,107,125,130,137,144,149,158],"users\u2019":[39,89],"degree":[40,90],"of":[41,52,57,91],"suspicion":[42],"based":[43,132],"on":[44,63,143],"user-item":[46],"ratings":[47],"data":[48],"using":[49],"theory":[51,79],"entropy":[53],"and":[54,82,136],"idea":[56],"density-based":[58],"local":[59],"outlier":[60],"factor.":[61],"Based":[62],"it,":[64],"measure":[66],"user\u2019s":[68],"trust":[69,86,109],"attributes":[70],"from":[71],"different":[72],"angles":[73],"by":[74,100,128],"introducing":[75],"source":[77],"credibility":[78],"multidimensional":[85,108],"model":[87,99],"suspicion.":[92],"Then":[93],"combining":[101],"baseline":[103],"estimate":[104],"approach":[105,135],"with":[106,157],"Finally,":[111],"devise":[113],"provide":[120],"more":[121],"accurate":[122],"for":[124],"target":[126],"integrating":[129],"M-estimator":[131],"matrix":[133],"factorization":[134],"Experimental":[141],"results":[142],"MovieLens":[145],"dataset":[146],"show":[147],"that":[148],"proposed":[150],"has":[152],"better":[153],"robustness":[154],"comparison":[156],"existing":[159],"algorithms.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}