{"id":"https://openalex.org/W2164629431","doi":"https://doi.org/10.1109/cidm.2009.4938623","title":"Collaborative filtering with fine-grained trust metric","display_name":"Collaborative filtering with fine-grained trust metric","publication_year":2009,"publication_date":"2009-03-01","ids":{"openalex":"https://openalex.org/W2164629431","doi":"https://doi.org/10.1109/cidm.2009.4938623","mag":"2164629431"},"language":"en","primary_location":{"id":"doi:10.1109/cidm.2009.4938623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cidm.2009.4938623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Symposium on Computational Intelligence and Data Mining","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/A5100367520","display_name":"Su Chen","orcid":"https://orcid.org/0000-0003-0264-8831"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Su Chen","raw_affiliation_strings":["Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy and Sciences, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108534872","display_name":"Tiejian Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tiejian Luo","raw_affiliation_strings":["Chinese Academy and Sciences, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy and Sciences, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431792","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0002-3865-8145"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["Chinese Academy and Sciences, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy and Sciences, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065996627","display_name":"Yanxiang Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanxiang Xu","raw_affiliation_strings":["Chinese Academy and Sciences, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy and Sciences, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100367520"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7403,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84196152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"9","last_page":"16"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9973999857902527,"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/T11478","display_name":"Caching and Content Delivery","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/collaborative-filtering","display_name":"Collaborative filtering","score":0.8674119710922241},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.8002933859825134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7853003740310669},{"id":"https://openalex.org/keywords/economic-shortage","display_name":"Economic shortage","score":0.7819511294364929},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7589867115020752},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5879079699516296},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5875771045684814},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4094172716140747},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.27827557921409607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2223985195159912},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06456100940704346}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8674119710922241},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8002933859825134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7853003740310669},{"id":"https://openalex.org/C194051981","wikidata":"https://www.wikidata.org/wiki/Q1337691","display_name":"Economic shortage","level":3,"score":0.7819511294364929},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7589867115020752},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5879079699516296},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5875771045684814},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4094172716140747},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.27827557921409607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2223985195159912},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06456100940704346},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cidm.2009.4938623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cidm.2009.4938623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Symposium on Computational Intelligence and Data Mining","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":29,"referenced_works":["https://openalex.org/W120301130","https://openalex.org/W1589148151","https://openalex.org/W1604936042","https://openalex.org/W1854214752","https://openalex.org/W1939407039","https://openalex.org/W1980202081","https://openalex.org/W2000855935","https://openalex.org/W2002791523","https://openalex.org/W2049455633","https://openalex.org/W2097726984","https://openalex.org/W2102479365","https://openalex.org/W2109992782","https://openalex.org/W2110325612","https://openalex.org/W2117311203","https://openalex.org/W2123427850","https://openalex.org/W2133266261","https://openalex.org/W2155106456","https://openalex.org/W2156523427","https://openalex.org/W2159094788","https://openalex.org/W2162166451","https://openalex.org/W2171960770","https://openalex.org/W2408295831","https://openalex.org/W2799002609","https://openalex.org/W2950332743","https://openalex.org/W4248151413","https://openalex.org/W4254761308","https://openalex.org/W6604797525","https://openalex.org/W6676522543","https://openalex.org/W6676535117"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W3014393615","https://openalex.org/W2508671622"],"abstract_inverted_index":{"Similarity-based":[0],"collaborative":[1,97],"filtering":[2,98],"systems":[3],"are":[4,17],"vulnerable":[5],"to":[6,21],"the":[7,81,95],"data":[8],"sparsity,":[9],"cold-start,":[10],"and":[11,56,92],"robustness":[12],"problems.":[13],"Computational":[14],"trust":[15,30,43,49],"models":[16],"promising":[18],"alternative":[19],"solutions":[20],"alleviate":[22],"these":[23],"problems":[24],"by":[25],"replacing":[26],"similarity":[27],"metric":[28],"with":[29],"metric.":[31],"However,":[32],"they":[33],"often":[34],"have":[35],"some":[36],"shortages":[37],"that":[38,80],"rely":[39],"on":[40,74],"users'":[41],"explicit":[42],"statements.":[44],"A":[45],"fine-grained":[46],"model":[47,69,83],"computing":[48],"from":[50],"user":[51],"ratings":[52],"is":[53],"more":[54,58],"reasonable":[55],"gets":[57],"nonintrusive":[59],"for":[60,70],"average":[61],"users.":[62],"We":[63],"propose":[64],"a":[65,75],"novel":[66],"trust-based":[67],"recommendation":[68],"this":[71],"purpose.":[72],"Experiments":[73],"large":[76],"real":[77],"dataset":[78],"show":[79],"proposed":[82],"has":[84],"better":[85],"performance":[86],"in":[87],"terms":[88],"of":[89],"MAE,":[90],"coverage,":[91],"F-metric":[93],"than":[94],"conventional":[96],"model.":[99]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}