{"id":"https://openalex.org/W1980378180","doi":"https://doi.org/10.1145/2043932.2043978","title":"Adaptive social similarities for recommender systems","display_name":"Adaptive social similarities for recommender systems","publication_year":2011,"publication_date":"2011-10-23","ids":{"openalex":"https://openalex.org/W1980378180","doi":"https://doi.org/10.1145/2043932.2043978","mag":"1980378180"},"language":"en","primary_location":{"id":"doi:10.1145/2043932.2043978","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2043932.2043978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fifth ACM conference on Recommender systems","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/A5070069685","display_name":"Le Yu","orcid":"https://orcid.org/0000-0001-9253-6205"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Le Yu","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China","[Sun Yat-sen University, Guangzhou, China.]"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"[Sun Yat-sen University, Guangzhou, China.]","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075012459","display_name":"Rong Pan","orcid":"https://orcid.org/0000-0001-5171-8248"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Pan","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China","[Sun Yat-sen University, Guangzhou, China.]"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"[Sun Yat-sen University, Guangzhou, China.]","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037072550","display_name":"Zhangfeng Li","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangfeng Li","raw_affiliation_strings":["Sun Yat-sen University, Guangzhou, China","[Sun Yat-sen University, Guangzhou, China.]"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"[Sun Yat-sen University, Guangzhou, China.]","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070069685"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":8.4089,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.97097066,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"257","last_page":"260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9789000153541565,"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":0.9670000076293945,"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/similarity","display_name":"Similarity (geometry)","score":0.8507216572761536},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8112903833389282},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.7736542224884033},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7229678630828857},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.6046011447906494},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5754020810127258},{"id":"https://openalex.org/keywords/social-relationship","display_name":"Social relationship","score":0.5052004456520081},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.47061851620674133},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4688032269477844},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4403221309185028},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4269038736820221},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3596445918083191},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.2587786912918091},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15659499168395996},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09178507328033447}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.8507216572761536},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8112903833389282},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7736542224884033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7229678630828857},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.6046011447906494},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5754020810127258},{"id":"https://openalex.org/C2987946170","wikidata":"https://www.wikidata.org/wiki/Q853725","display_name":"Social relationship","level":2,"score":0.5052004456520081},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.47061851620674133},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4688032269477844},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4403221309185028},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4269038736820221},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3596445918083191},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.2587786912918091},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15659499168395996},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09178507328033447},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2043932.2043978","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2043932.2043978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fifth ACM conference on Recommender systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1632591701","https://openalex.org/W1766968125","https://openalex.org/W2023603028","https://openalex.org/W2093219534","https://openalex.org/W2100235918","https://openalex.org/W2119825970","https://openalex.org/W2124187902","https://openalex.org/W2135598826","https://openalex.org/W2137245235","https://openalex.org/W2144487656","https://openalex.org/W2591957553"],"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/W2508671622","https://openalex.org/W2556532874"],"abstract_inverted_index":{"Collaborative":[0],"filtering":[1],"(CF)":[2],"is":[3,176],"an":[4,12,31,154],"effective":[5],"recommendation":[6,53],"technique,":[7],"which":[8,175],"selects":[9],"items":[10,138],"for":[11,36,44],"individual":[13],"user":[14],"based":[15,55,114,160],"on":[16,56,115,161,170],"similar":[17,49],"users'":[18,72],"preferences.":[19],"However,":[20,108],"CF":[21,69],"may":[22],"not":[23,134],"fully":[24],"reflect":[25],"the":[26,68,78,87,116,136,141,162,191],"procedure":[27],"how":[28],"people":[29],"choose":[30],"item":[32],"in":[33,120,139,202],"real":[34],"life,":[35],"users":[37],"are":[38,94,113,127],"more":[39],"likely":[40],"to":[41],"ask":[42],"friends":[43,110,132],"opinions":[45],"instead":[46],"of":[47,80,89],"asking":[48],"strangers.":[50],"Recently,":[51],"some":[52],"methods":[54],"social":[57,65,84,181],"network":[58,66],"have":[59],"been":[60],"raised.":[61],"These":[62,83],"approaches":[63,85],"incorporate":[64],"into":[67],"algorithms":[70],"and":[71,103,194],"preferences":[73],"can":[74],"be":[75,146],"influenced":[76],"by":[77],"favors":[79],"their":[81],"friends.":[82,92],"require":[86],"knowledge":[88],"similarities":[90],"among":[91],"There":[93],"two":[95,131],"popular":[96],"similarity":[97,111,142],"functions:":[98],"Vector":[99],"Space":[100],"Similarity":[101,157],"(VSS)":[102],"Pearson":[104],"Correlation":[105],"Coefficient":[106],"(PCC).":[107],"both":[109],"functions":[112,126],"item-sets":[117],"they":[118],"rated":[119],"common.":[121],"In":[122],"most":[123],"cases,":[124],"these":[125],"impractical,":[128],"i.e.":[129],"if":[130],"do":[133],"share":[135],"same":[137],"common,":[140],"between":[143],"them":[144],"will":[145],"zeros.":[147],"To":[148],"solve":[149],"this":[150],"problem,":[151],"we":[152],"propose":[153],"Adaptive":[155],"Social":[156],"(ASS)":[158],"function":[159],"matrix":[163],"factorization":[164],"technique.":[165],"We":[166],"conduct":[167],"our":[168,188],"experiment":[169,184],"a":[171,177,196],"large":[172],"dataset:":[173],"Epinions,":[174],"widely-used":[178],"dataset":[179],"with":[180],"information.":[182],"The":[183],"results":[185],"illustrate":[186],"that":[187],"approach":[189],"outperforms":[190],"baseline":[192],"models":[193],"achieves":[195],"better":[197],"performance":[198],"than":[199],"social-based":[200],"method":[201],"[4].":[203]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}