{"id":"https://openalex.org/W2604175478","doi":"https://doi.org/10.1145/3038912.3052556","title":"Learning Personalized Preference of Strong and Weak Ties for Social Recommendation","display_name":"Learning Personalized Preference of Strong and Weak Ties for Social Recommendation","publication_year":2017,"publication_date":"2017-04-03","ids":{"openalex":"https://openalex.org/W2604175478","doi":"https://doi.org/10.1145/3038912.3052556","mag":"2604175478"},"language":"en","primary_location":{"id":"doi:10.1145/3038912.3052556","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3038912.3052556","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th International Conference on World Wide Web","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3038912.3052556","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022927606","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0002-0351-2939"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["Zhejiang University & Simon Fraser University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University & Simon Fraser University, Hangzhou, China","institution_ids":["https://openalex.org/I18014758","https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074834854","display_name":"Steven C. H. Hoi","orcid":"https://orcid.org/0000-0002-4584-3453"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Steven C.H. Hoi","raw_affiliation_strings":["Singapore Management University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore Management University, Singapore, Singapore","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018267399","display_name":"Martin Ester","orcid":"https://orcid.org/0000-0001-7732-2815"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Martin Ester","raw_affiliation_strings":["Simon Fraser University, Burnaby, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simon Fraser University, Burnaby, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052757755","display_name":"Jiajun Bu","orcid":"https://orcid.org/0000-0002-1097-2044"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Bu","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100373367","display_name":"Chun Chen","orcid":"https://orcid.org/0000-0002-6198-7481"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Chen","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":100,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1601","last_page":"1610"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.98580002784729,"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/interpersonal-ties","display_name":"Interpersonal ties","score":0.842056155204773},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7240939736366272},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.670356273651123},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5552581548690796},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5347994565963745},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.49318617582321167},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.4779517650604248},{"id":"https://openalex.org/keywords/strong-ties","display_name":"Strong ties","score":0.4774806499481201},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.462222695350647},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.4582066535949707},{"id":"https://openalex.org/keywords/social-trust","display_name":"Social trust","score":0.4557795226573944},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.43554723262786865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41452962160110474},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.364553302526474},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30112922191619873},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.221745103597641},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.22010120749473572},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.17464923858642578},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.13460716605186462},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10314390063285828},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.10152032971382141},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.07311949133872986},{"id":"https://openalex.org/keywords/social-science","display_name":"Social science","score":0.06673052906990051}],"concepts":[{"id":"https://openalex.org/C142189719","wikidata":"https://www.wikidata.org/wiki/Q1276633","display_name":"Interpersonal ties","level":2,"score":0.842056155204773},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7240939736366272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.670356273651123},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5552581548690796},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5347994565963745},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.49318617582321167},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.4779517650604248},{"id":"https://openalex.org/C2992428813","wikidata":"https://www.wikidata.org/wiki/Q1276633","display_name":"Strong ties","level":3,"score":0.4774806499481201},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.462222695350647},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.4582066535949707},{"id":"https://openalex.org/C2985797017","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Social trust","level":3,"score":0.4557795226573944},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.43554723262786865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41452962160110474},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.364553302526474},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30112922191619873},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.221745103597641},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.22010120749473572},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17464923858642578},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.13460716605186462},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10314390063285828},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.10152032971382141},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.07311949133872986},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.06673052906990051},{"id":"https://openalex.org/C68062652","wikidata":"https://www.wikidata.org/wiki/Q214693","display_name":"Social capital","level":2,"score":0.0},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3038912.3052556","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3038912.3052556","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th International Conference on World Wide Web","raw_type":"proceedings-article"},{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-4657","is_oa":false,"landing_page_url":"https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=4657&context=sis_research","pdf_url":null,"source":{"id":"https://openalex.org/S4306401925","display_name":"Singapore Management University Institutional Knowledge (InK) (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1145/3038912.3052556","raw_type":"Conference Proceeding Article"}],"best_oa_location":{"id":"doi:10.1145/3038912.3052556","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3038912.3052556","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th International Conference on World Wide Web","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W636819370","https://openalex.org/W1576165493","https://openalex.org/W1770617812","https://openalex.org/W1964731129","https://openalex.org/W1965056875","https://openalex.org/W1965925713","https://openalex.org/W1991055526","https://openalex.org/W1994389483","https://openalex.org/W1998029376","https://openalex.org/W2010695531","https://openalex.org/W2018749988","https://openalex.org/W2020488968","https://openalex.org/W2026417691","https://openalex.org/W2033198212","https://openalex.org/W2037933327","https://openalex.org/W2040686378","https://openalex.org/W2054141820","https://openalex.org/W2057763140","https://openalex.org/W2061820396","https://openalex.org/W2080567541","https://openalex.org/W2080996162","https://openalex.org/W2084527756","https://openalex.org/W2085040216","https://openalex.org/W2093219534","https://openalex.org/W2097662241","https://openalex.org/W2101409192","https://openalex.org/W2107603623","https://openalex.org/W2109469951","https://openalex.org/W2118557062","https://openalex.org/W2119825970","https://openalex.org/W2124142520","https://openalex.org/W2127048411","https://openalex.org/W2135598826","https://openalex.org/W2136254842","https://openalex.org/W2137245235","https://openalex.org/W2140310134","https://openalex.org/W2141113219","https://openalex.org/W2144487656","https://openalex.org/W2148847267","https://openalex.org/W2149490995","https://openalex.org/W2149668059","https://openalex.org/W2154454189","https://openalex.org/W2166293769","https://openalex.org/W2170944079","https://openalex.org/W2217347858","https://openalex.org/W2524453101","https://openalex.org/W2533413719","https://openalex.org/W2575524451","https://openalex.org/W2913754224","https://openalex.org/W2997181101","https://openalex.org/W3102641634","https://openalex.org/W4239567262","https://openalex.org/W4285719527","https://openalex.org/W6676490153"],"related_works":["https://openalex.org/W2276968722","https://openalex.org/W3109911900","https://openalex.org/W3176521406","https://openalex.org/W4312998587","https://openalex.org/W1575318294","https://openalex.org/W4245632317","https://openalex.org/W3124902149","https://openalex.org/W3001279170","https://openalex.org/W4390064942","https://openalex.org/W3195769971"],"abstract_inverted_index":{"Recent":[0],"years":[1],"have":[2],"seen":[3],"a":[4,115,148,157],"surge":[5],"of":[6,21,30,94,97,125,139,144,193,202],"research":[7],"on":[8,114,174],"social":[9,22,31,45,49,78,84,100,104,110,145,149,208],"recommendation":[10,32,111,132,153],"techniques":[11],"for":[12,80,130,162,207],"improving":[13,131],"recommender":[14],"systems":[15],"due":[16,47],"to":[17,24,37,48,60,167],"the":[18,52,64,92,123,191,194,199],"growing":[19],"influence":[20],"networks":[23],"our":[25,180],"daily":[26],"life.":[27],"The":[28,134],"intuition":[29],"is":[33,137],"that":[34,121,189],"users":[35],"tend":[36],"show":[38],"affinities":[39],"with":[40,182],"items":[41],"favored":[42],"by":[43,178],"their":[44],"ties":[46,98,129,146,206],"influence.":[50],"Despite":[51],"extensive":[53,172],"studies,":[54],"no":[55],"existing":[56],"work":[57],"has":[58],"attempted":[59],"distinguish":[61],"and":[62,69,106,127,155,185,204],"learn":[63],"personalized":[65,158,200],"preferences":[66,201],"between":[67],"strong":[68,126,203],"weak":[70,128,205],"ties,":[71],"two":[72],"important":[73],"terms":[74],"widely":[75],"used":[76],"in":[77,83,99,147,165,197],"sciences,":[79,105],"each":[81,163],"individual":[82],"recommendation.":[85,209],"In":[86],"this":[87],"paper,":[88],"we":[89],"first":[90],"highlight":[91],"importance":[93],"different":[95,142],"types":[96,143],"relations":[101],"originated":[102],"from":[103],"then":[107],"propose":[108],"anovel":[109],"method":[112,136,181,196],"based":[113],"new":[116],"Probabilistic":[117],"Matrix":[118],"Factorization":[119],"model":[120],"incorporates":[122],"distinction":[124],"performance.":[133],"proposed":[135,195],"capable":[138],"simultaneously":[140],"classifying":[141],"network":[150],"w.r.t.":[151],"optimal":[152],"accuracy,":[154],"learning":[156],"tie":[159],"type":[160],"preference":[161],"user":[164],"addition":[166],"other":[168],"parameters.":[169],"We":[170],"conduct":[171],"experiments":[173],"four":[175],"real-world":[176],"datasets":[177],"comparing":[179],"state-of-the-art":[183],"approaches,":[184],"find":[186],"encouraging":[187],"results":[188],"validate":[190],"efficacy":[192],"exploiting":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":23},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}