{"id":"https://openalex.org/W4412376858","doi":"https://doi.org/10.1145/3726302.3730016","title":"Joint Item Embedding Dual-view Exploration and Adaptive Local-Global Fusion for Federated Recommendation","display_name":"Joint Item Embedding Dual-view Exploration and Adaptive Local-Global Fusion for Federated Recommendation","publication_year":2025,"publication_date":"2025-07-13","ids":{"openalex":"https://openalex.org/W4412376858","doi":"https://doi.org/10.1145/3726302.3730016"},"language":"en","primary_location":{"id":"doi:10.1145/3726302.3730016","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3726302.3730016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5030260615","display_name":"Pengyang Zhou","orcid":"https://orcid.org/0000-0002-7219-0937"},"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":"Pengyang Zhou","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7219-0937","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028791879","display_name":"Chaochao Chen","orcid":"https://orcid.org/0000-0003-1419-964X"},"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":"Chaochao Chen","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1419-964X","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007858277","display_name":"Weiming Liu","orcid":"https://orcid.org/0000-0002-4115-7667"},"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":"Weiming Liu","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4115-7667","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089852262","display_name":"W. H. Shen","orcid":"https://orcid.org/0009-0005-8891-4628"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenkai Shen","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0009-0005-8891-4628","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071445044","display_name":"Xinting Liao","orcid":"https://orcid.org/0000-0002-8257-2381"},"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":"Xinting Liao","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8257-2381","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110808014","display_name":"Huarong Deng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huarong Deng","raw_affiliation_strings":["OPPO, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0002-6896-4925","affiliations":[{"raw_affiliation_string":"OPPO, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103471639","display_name":"Z. F. Fu","orcid":"https://orcid.org/0009-0003-3512-9656"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhihui Fu","raw_affiliation_strings":["OPPO, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0003-3512-9656","affiliations":[{"raw_affiliation_string":"OPPO, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384677","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-0481-5341"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["OPPO, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-0481-5341","affiliations":[{"raw_affiliation_string":"OPPO, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111877488","display_name":"Wu Wen","orcid":"https://orcid.org/0009-0008-1235-1816"},"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":"Wu Wen","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0008-1235-1816","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074603286","display_name":"Xiaolin Zheng","orcid":"https://orcid.org/0000-0001-5483-0366"},"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":"Xiaolin Zheng","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5483-0366","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7398,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.93540266,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"424","last_page":"434"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9972000122070312,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/dual","display_name":"Dual (grammatical number)","score":0.8288748264312744},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.7236467599868774},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6945960521697998},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6343807578086853},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.44526663422584534},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35126131772994995},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09635952115058899}],"concepts":[{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.8288748264312744},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.7236467599868774},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6945960521697998},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6343807578086853},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.44526663422584534},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35126131772994995},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09635952115058899},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3726302.3730016","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3726302.3730016","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W2028988057","https://openalex.org/W2071702404","https://openalex.org/W2127498532","https://openalex.org/W2605350416","https://openalex.org/W2744999500","https://openalex.org/W2962992847","https://openalex.org/W2964881778","https://openalex.org/W2971196067","https://openalex.org/W3047789363","https://openalex.org/W3081273427","https://openalex.org/W3102834148","https://openalex.org/W4213390626","https://openalex.org/W4214785886","https://openalex.org/W4226237846","https://openalex.org/W4251597219","https://openalex.org/W4251668937","https://openalex.org/W4280611174","https://openalex.org/W4306317443","https://openalex.org/W4307073350","https://openalex.org/W4307079407","https://openalex.org/W4312551160","https://openalex.org/W4313591689","https://openalex.org/W4367046711","https://openalex.org/W4382463479","https://openalex.org/W4385567870","https://openalex.org/W4385767875","https://openalex.org/W4385768033","https://openalex.org/W4385768177","https://openalex.org/W4386150329","https://openalex.org/W4396723262","https://openalex.org/W4396894903","https://openalex.org/W4401863557","https://openalex.org/W4402727563","https://openalex.org/W4403574004","https://openalex.org/W4403792224","https://openalex.org/W4403792529","https://openalex.org/W4407953126","https://openalex.org/W4407953592","https://openalex.org/W6600175564","https://openalex.org/W6603999813","https://openalex.org/W6607990940"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2037549926","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W2849310602","https://openalex.org/W3006008237","https://openalex.org/W2419146053","https://openalex.org/W4388890789","https://openalex.org/W2088247287","https://openalex.org/W2963903416"],"abstract_inverted_index":{"Federated":[0],"Recommendation":[1],"(FedRec)":[2],"enables":[3,140],"joint":[4],"training":[5],"across":[6],"a":[7],"large":[8],"number":[9],"of":[10,75,80,144,169],"clients":[11],"without":[12],"centralizing":[13],"user":[14,87,153],"interaction":[15],"data.":[16],"However,":[17],"existing":[18],"FedRec":[19],"methods":[20],"overlook":[21],"two":[22,99],"key":[23],"challenges,":[24,93],"i.e.":[25],"(1)":[26],"sufficiently":[27],"explore":[28],"the":[29,58,64,73,77,91,114,122,131,141,152,167],"global":[30,40,59,83,115,147],"item":[31,53,60,102,116,128,148],"embedding":[32,61,103,117],"space,":[33],"and":[34,39,55,66,82,106,125,146],"(2)":[35],"effectively":[36],"achieve":[37],"local":[38,81,145],"collaboration.":[41],"The":[42,69,110,137],"former":[43],"is":[44],"caused":[45],"by":[46,118],"client":[47],"sparsity,":[48],"which":[49,97],"leads":[50],"to":[51,85],"suboptimal":[52],"embeddings":[54,149],"subsequently":[56],"impacts":[57],"in":[62,121,130,171],"both":[63],"dimension":[65,123],"sample":[67,132],"views.":[68],"latter":[70],"arises":[71],"from":[72],"lack":[74],"modeling":[76],"relative":[78],"importance":[79],"contributions":[84],"personalized":[86,157],"preferences.":[88],"To":[89],"address":[90],"above":[92],"we":[94],"propose":[95],"FedIAR":[96,170],"contains":[98],"modules,":[100],"i.e.,":[101],"dual-view":[104],"exploration":[105],"adaptive":[107,142],"local-global":[108],"fusion.":[109],"first":[111],"module":[112,139],"enhances":[113],"reducing":[119],"redundancy":[120],"view":[124],"capturing":[126],"latent":[127],"relationships":[129],"view,":[133],"improving":[134,172],"representational":[135],"capacity.":[136],"second":[138],"fusion":[143],"based":[150],"on":[151,163],"preference":[154],"representation,":[155],"achieving":[156],"optimum":[158],"for":[159],"recommendation.":[160],"Extensive":[161],"experiments":[162],"six":[164],"datasets":[165],"demonstrate":[166],"effectiveness":[168],"federated":[173],"recommendation":[174],"performance.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}