{"id":"https://openalex.org/W7167943331","doi":"https://doi.org/10.1145/3805712.3809729","title":"Balanced Co-Clustering of Users and Items for Embedding Table Compression in Recommender Systems","display_name":"Balanced Co-Clustering of Users and Items for Embedding Table Compression in Recommender Systems","publication_year":2026,"publication_date":"2026-07-10","ids":{"openalex":"https://openalex.org/W7167943331","doi":"https://doi.org/10.1145/3805712.3809729"},"language":null,"primary_location":{"id":"doi:10.1145/3805712.3809729","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3809729","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 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3805712.3809729","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110521423","display_name":"Rongfeng Jiang","orcid":"https://orcid.org/0009-0000-4841-9175"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Runhao Jiang","raw_affiliation_strings":["Hong Kong Baptist University, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0009-0000-4841-9175","affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University, Hong Kong SAR, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040420455","display_name":"Renchi Yang","orcid":"https://orcid.org/0000-0002-7284-3096"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Renchi Yang","raw_affiliation_strings":["Hong Kong Baptist University, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-7284-3096","affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University, Hong Kong SAR, China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106974408","display_name":"Di Wu","orcid":"https://orcid.org/0000-0003-2169-8236"},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donghao Wu","raw_affiliation_strings":["The Chinese University of Hong Kong, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0002-4389-5329","affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.95366863,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"634","last_page":"645"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.8676999807357788,"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":0.8676999807357788,"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/T10057","display_name":"Face and Expression Recognition","score":0.010400000028312206,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.00860000029206276,"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/embedding","display_name":"Embedding","score":0.8639000058174133},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7408999800682068},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.6432999968528748},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5820000171661377},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5770999789237976},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5594000220298767},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.45399999618530273}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.8639000058174133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7750999927520752},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7408999800682068},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.6432999968528748},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5820000171661377},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5770999789237976},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5594000220298767},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.45399999618530273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40209999680519104},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.38100001215934753},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33399999141693115},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33149999380111694},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3093000054359436},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3061999976634979},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.2872999906539917},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.2827000021934509},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2718000113964081},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26989999413490295},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2597000002861023}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3805712.3809729","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3809729","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 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3805712.3809729","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3809729","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 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.42855432629585266,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1987643017","https://openalex.org/W2011843642","https://openalex.org/W2025543856","https://openalex.org/W2032273054","https://openalex.org/W2033947830","https://openalex.org/W2036328877","https://openalex.org/W2057463094","https://openalex.org/W2070996757","https://openalex.org/W2131681506","https://openalex.org/W2132202037","https://openalex.org/W2139549981","https://openalex.org/W2164998314","https://openalex.org/W3003992897","https://openalex.org/W3088463703","https://openalex.org/W4294904103","https://openalex.org/W4389785536","https://openalex.org/W4393212306","https://openalex.org/W4400982249","https://openalex.org/W4412825877","https://openalex.org/W4414034828","https://openalex.org/W7125693190","https://openalex.org/W7152697915"],"related_works":[],"abstract_inverted_index":{"Recommender":[0],"systems":[1],"have":[2],"advanced":[3],"markedly":[4],"over":[5],"the":[6],"past":[7],"decade":[8],"by":[9,28],"transforming":[10],"each":[11],"user/item":[12],"into":[13],"a":[14,35],"dense":[15],"embedding":[16,25,60],"vector":[17],"with":[18],"deep":[19],"learning":[20],"models.":[21],"At":[22],"industrial":[23],"scale,":[24],"tables":[26],"constituted":[27],"such":[29],"vectors":[30],"of":[31,38],"all":[32],"users/items":[33],"demand":[34],"vast":[36],"amount":[37],"parameters":[39],"and":[40,44,49],"impose":[41],"heavy":[42],"compute":[43],"memory":[45],"overhead":[46],"during":[47],"training":[48],"inference,":[50],"hindering":[51],"model":[52],"deployment":[53],"under":[54],"resource":[55],"constraints.":[56],"Existing":[57],"solutions":[58],"towards":[59],"compression":[61],"either":[62],"suffer":[63],"from":[64],"severely":[65],"compromised":[66],"recommendation":[67],"accuracy":[68],"or":[69],"incur":[70],"considerable":[71],"computational":[72],"costs.":[73]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-11T00:00:00"}
