{"id":"https://openalex.org/W2017748523","doi":"https://doi.org/10.1145/2532443.2532459","title":"Enhancing trustworthiness evaluation in internetware with similarity and non-negative constraints","display_name":"Enhancing trustworthiness evaluation in internetware with similarity and non-negative constraints","publication_year":2013,"publication_date":"2013-10-23","ids":{"openalex":"https://openalex.org/W2017748523","doi":"https://doi.org/10.1145/2532443.2532459","mag":"2017748523"},"language":"en","primary_location":{"id":"doi:10.1145/2532443.2532459","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2532443.2532459","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 Asia-Pacific Symposium on Internetware","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":null,"display_name":"Guo Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guo Yan","raw_affiliation_strings":["Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112579705","display_name":"Feng Xu","orcid":"https://orcid.org/0000-0003-3347-7510"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Xu","raw_affiliation_strings":["Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068643894","display_name":"Yuan Yao","orcid":"https://orcid.org/0000-0002-6913-6542"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Yao","raw_affiliation_strings":["Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037645622","display_name":"Jian L\u00fc","orcid":"https://orcid.org/0000-0002-7025-7448"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Lu","raw_affiliation_strings":["Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.18245459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10927","display_name":"Access Control and Trust","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10927","display_name":"Access Control and Trust","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9934999942779541,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9814000129699707,"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":0.8130412101745605},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7367494106292725},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6312580108642578},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5907524824142456},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5701665878295898},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.5184309482574463},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5141225457191467},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4656819701194763},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4366518259048462},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4155217707157135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3721221089363098},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3420697748661041},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10892641544342041}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8130412101745605},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7367494106292725},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6312580108642578},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5907524824142456},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5701665878295898},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.5184309482574463},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5141225457191467},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4656819701194763},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4366518259048462},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4155217707157135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3721221089363098},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3420697748661041},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10892641544342041},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2532443.2532459","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2532443.2532459","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 Asia-Pacific Symposium on Internetware","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.550000011920929}],"awards":[{"id":"https://openalex.org/G2325736360","display_name":null,"funder_award_id":"91318301, 61021062, 61073030, 61100037","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2910740813","display_name":null,"funder_award_id":"2012AA011205","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W164437117","https://openalex.org/W1505130406","https://openalex.org/W1981276685","https://openalex.org/W1994389483","https://openalex.org/W2007474574","https://openalex.org/W2028513945","https://openalex.org/W2045049260","https://openalex.org/W2082945558","https://openalex.org/W2091264688","https://openalex.org/W2096994246","https://openalex.org/W2097726984","https://openalex.org/W2098685442","https://openalex.org/W2115918804","https://openalex.org/W2118718620","https://openalex.org/W2130234299","https://openalex.org/W2137245235","https://openalex.org/W2156937700","https://openalex.org/W2166293769","https://openalex.org/W3143596294"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W3030836721"],"abstract_inverted_index":{"Internetware":[0],"is":[1,37,95],"envisioned":[2],"as":[3,18,20],"a":[4,57,131,146],"new":[5],"software":[6,9,22],"paradigm":[7],"where":[8],"developers":[10],"usually":[11],"need":[12],"to":[13,39],"interact":[14],"with":[15,66],"unknown":[16],"partners":[17],"well":[19],"the":[21,85,90,118,122,137,161,165,169],"entities":[23],"developed":[24],"by":[25,62,83],"them.":[26],"To":[27,71,135],"reduce":[28],"uncertainty":[29],"and":[30,68,157,168],"boost":[31],"collaborations":[32],"in":[33],"such":[34,93],"setting,":[35],"it":[36],"important":[38],"provide":[40],"trustworthiness":[41,59],"evaluation":[42,60,162],"mechanisms":[43,65],"so":[44],"that":[45],"trustworthy":[46],"partners/entities":[47],"can":[48],"be":[49,72],"easily":[50],"found.":[51],"In":[52],"this":[53],"work,":[54],"we":[55,74,100,114,142],"propose":[56],"novel":[58],"mechanism":[61],"enhancing":[63],"existing":[64,78],"similarity":[67,102,158],"non-negative":[69,86],"constraints.":[70],"specific,":[73],"first":[75,123],"extend":[76],"an":[77],"multi-aspect":[79],"trust":[80],"inference":[81],"model":[82],"incorporating":[84],"constraint.":[87],"One":[88],"of":[89,92,117,139,164],"advantages":[91],"constraint":[94],"its":[96],"strong":[97],"interpretability.":[98],"Second,":[99],"incorporate":[101],"into":[103],"two":[104],"neighborhood":[105],"models":[106,127],"borrowed":[107],"from":[108,121],"recommender":[109],"systems.":[110],"When":[111],"computing":[112],"similarity,":[113],"make":[115],"use":[116],"intermediate":[119],"results":[120,150],"step.":[124],"Finally,":[125],"these":[126],"are":[128],"combined":[129,170],"under":[130],"machine":[132],"learning":[133],"framework.":[134],"show":[136,151],"effectiveness":[138],"our":[140,154],"method,":[141],"conduct":[143],"experiments":[144],"on":[145],"real":[147],"data-set.":[148],"The":[149],"that:":[152],"both":[153],"non-negativity":[155],"extension":[156],"computation":[159],"improve":[160],"accuracy":[163],"original":[166],"methods,":[167],"method":[171],"outperforms":[172],"several":[173],"state-of-the-art":[174],"methods.":[175]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}