{"id":"https://openalex.org/W2513729854","doi":"https://doi.org/10.1145/2959100.2959155","title":"Joint User Modeling across Aligned Heterogeneous Sites","display_name":"Joint User Modeling across Aligned Heterogeneous Sites","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2513729854","doi":"https://doi.org/10.1145/2959100.2959155","mag":"2513729854"},"language":"en","primary_location":{"id":"doi:10.1145/2959100.2959155","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2959100.2959155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th 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/A5108060642","display_name":"Xuezhi Cao","orcid":"https://orcid.org/0000-0002-7044-1341"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuezhi Cao","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001571390","display_name":"Yong Yu","orcid":"https://orcid.org/0000-0003-0281-8271"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Yu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108060642"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":5.3079,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.95737977,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"83","last_page":"90"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9926000237464905,"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/T10028","display_name":"Topic Modeling","score":0.9914000034332275,"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":0.8784332275390625},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6378782391548157},{"id":"https://openalex.org/keywords/publication","display_name":"Publication","score":0.5950247645378113},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.5592061281204224},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5162227153778076},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.47337692975997925},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47004976868629456},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.46044668555259705},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.41345125436782837},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3953835666179657},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3542234003543854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2776198387145996},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.26407989859580994}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8784332275390625},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6378782391548157},{"id":"https://openalex.org/C41458344","wikidata":"https://www.wikidata.org/wiki/Q732577","display_name":"Publication","level":2,"score":0.5950247645378113},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.5592061281204224},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5162227153778076},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.47337692975997925},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47004976868629456},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.46044668555259705},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.41345125436782837},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3953835666179657},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3542234003543854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2776198387145996},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.26407989859580994},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2959100.2959155","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2959100.2959155","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM Conference on Recommender Systems","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":33,"referenced_works":["https://openalex.org/W24761630","https://openalex.org/W812851569","https://openalex.org/W1553232534","https://openalex.org/W1880262756","https://openalex.org/W1883278639","https://openalex.org/W1973956316","https://openalex.org/W1979356225","https://openalex.org/W1994389483","https://openalex.org/W2013221919","https://openalex.org/W2018571751","https://openalex.org/W2026844232","https://openalex.org/W2041022395","https://openalex.org/W2048508267","https://openalex.org/W2054141820","https://openalex.org/W2055345291","https://openalex.org/W2061873838","https://openalex.org/W2075633077","https://openalex.org/W2077292125","https://openalex.org/W2080512030","https://openalex.org/W2085106103","https://openalex.org/W2108207895","https://openalex.org/W2120340025","https://openalex.org/W2127201730","https://openalex.org/W2128869159","https://openalex.org/W2135598826","https://openalex.org/W2155048531","https://openalex.org/W2158515176","https://openalex.org/W2159094788","https://openalex.org/W2159675343","https://openalex.org/W2165424625","https://openalex.org/W2963184995","https://openalex.org/W2963947225","https://openalex.org/W4293052541"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4317039510","https://openalex.org/W4286900141","https://openalex.org/W2537376277"],"abstract_inverted_index":{"An":[0],"accurate":[1,69],"and":[2,27,68,99,110,115,122,151,162,175],"comprehensive":[3,67,120],"user":[4,18,54,70,106,135],"modeling":[5,55,71,73,107,136,176],"technique":[6],"is":[7],"crucial":[8],"for":[9,42,104,119,139,158],"the":[10,24,48,53,169,183],"quality":[11,184],"of":[12,149,185],"recommender":[13,187],"systems.":[14,188],"Traditionally,":[15],"we":[16,45,61,85,145,167],"model":[17,91,98],"preferences":[19],"using":[20],"only":[21],"actions":[22,50,75],"from":[23,30],"target":[25],"site":[26],"may":[28],"suffer":[29],"cold-start":[31,140,143],"problem.":[32],"As":[33],"nowadays":[34],"people":[35],"normally":[36],"engage":[37],"in":[38,58,76,160],"multiple":[39,77],"online":[40,186],"sites":[41,80,164,174],"various":[43],"needs,":[44],"consider":[46],"leveraging":[47],"cross-site":[49],"to":[51,154,181],"improve":[52,182],"accuracy.":[56],"Specifically,":[57],"this":[59],"paper":[60],"aim":[62],"at":[63],"achieving":[64],"a":[65,87],"more":[66],"by":[72],"user's":[74],"aligned":[78],"heterogeneous":[79,173],"simultaneously.":[81],"To":[82],"do":[83,179],"so,":[84],"propose":[86],"modularized":[88],"probabilistic":[89],"graphical":[90],"framework":[92,129],"JUMA.":[93],"We":[94,113],"further":[95],"integrate":[96],"topic":[97],"matrix":[100],"factorization":[101],"into":[102],"JUMA":[103,130],"joint":[105],"over":[108],"text-based":[109,163],"item-based":[111,161],"sites.":[112],"assemble":[114],"publish":[116],"large-scale":[117],"dataset":[118],"analyzing":[121],"evaluation.":[123],"Experimental":[124],"results":[125],"show":[126],"that":[127,171],"our":[128],"out":[131],"performs":[132],"traditional":[133],"within-site":[134,156],"techniques,":[137],"especially":[138],"scenarios.":[141],"For":[142],"users,":[144],"achieve":[146],"relative":[147],"improvements":[148],"9.3%":[150],"12.8%":[152],"comparing":[153],"existing":[155],"approaches":[157],"recommendation":[159],"respectively.":[165],"Thus":[166],"draw":[168],"conclusion":[170],"aligning":[172],"users":[177],"jointly":[178],"help":[180]},"counts_by_year":[{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
