{"id":"https://openalex.org/W4389785536","doi":"https://doi.org/10.1145/3637841","title":"Embedding Compression in Recommender Systems: A Survey","display_name":"Embedding Compression in Recommender Systems: A Survey","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4389785536","doi":"https://doi.org/10.1145/3637841"},"language":"en","primary_location":{"id":"doi:10.1145/3637841","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637841","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2408.02304","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100639499","display_name":"Shiwei Li","orcid":"https://orcid.org/0000-0002-7067-0275"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiwei Li","raw_affiliation_strings":["Huazhong University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-7067-0275","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019541869","display_name":"Huifeng Guo","orcid":"https://orcid.org/0000-0002-7393-8994"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huifeng Guo","raw_affiliation_strings":["Huawei Noah\u2019s Ark Lab, China"],"raw_orcid":"https://orcid.org/0000-0002-7393-8994","affiliations":[{"raw_affiliation_string":"Huawei Noah\u2019s Ark Lab, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071989106","display_name":"Xing Tang","orcid":"https://orcid.org/0000-0003-4360-0754"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Tang","raw_affiliation_strings":["Tencent, China"],"raw_orcid":"https://orcid.org/0000-0003-4360-0754","affiliations":[{"raw_affiliation_string":"Tencent, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114191001","display_name":"Ruiming Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiming Tang","raw_affiliation_strings":["Huawei Noah\u2019s Ark Lab, China"],"raw_orcid":"https://orcid.org/0000-0002-7791-5511","affiliations":[{"raw_affiliation_string":"Huawei Noah\u2019s Ark Lab, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101663633","display_name":"Lu Hou","orcid":"https://orcid.org/0000-0002-4694-1821"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Hou","raw_affiliation_strings":["Huawei Noah\u2019s Ark Lab, China"],"raw_orcid":"https://orcid.org/0000-0002-4694-1821","affiliations":[{"raw_affiliation_string":"Huawei Noah\u2019s Ark Lab, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ruixuan Li","orcid":"https://orcid.org/0000-0002-9224-2431"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruixuan Li","raw_affiliation_strings":["Huazhong University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-9224-2431","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100422092","display_name":"Rui Zhang","orcid":"https://orcid.org/0000-0002-8132-6250"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rui Zhang","raw_affiliation_strings":["ruizhang.info, China"],"raw_orcid":"https://orcid.org/0000-0002-8132-6250","affiliations":[{"raw_affiliation_string":"ruizhang.info, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.7066,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.97972618,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"56","issue":"5","first_page":"1","last_page":"21"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9972000122070312,"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/computer-science","display_name":"Computer science","score":0.8991243243217468},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8296998739242554},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6944655776023865},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5380223989486694},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41372326016426086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33190661668777466}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8991243243217468},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8296998739242554},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6944655776023865},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5380223989486694},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41372326016426086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33190661668777466},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3637841","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637841","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2408.02304","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2408.02304","pdf_url":"https://arxiv.org/pdf/2408.02304","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2408.02304","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2408.02304","pdf_url":"https://arxiv.org/pdf/2408.02304","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1520791058","display_name":null,"funder_award_id":"62376103","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2878085913","display_name":null,"funder_award_id":"62206102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4304390895","display_name":null,"funder_award_id":"2022BAA046","funder_id":"https://openalex.org/F4320334974","funder_display_name":"Hebei Province Science and Technology Support Program"},{"id":"https://openalex.org/G4435229518","display_name":null,"funder_award_id":"62302184","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6085108865","display_name":null,"funder_award_id":"62376103, 62302184, and 62206102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334974","display_name":"Hebei Province Science and Technology Support Program","ror":"https://ror.org/05a7g7f24"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389785536.pdf"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W1971187657","https://openalex.org/W1977182282","https://openalex.org/W1983548143","https://openalex.org/W2070996757","https://openalex.org/W2074694452","https://openalex.org/W2124509324","https://openalex.org/W2248044446","https://openalex.org/W2295739661","https://openalex.org/W2336920772","https://openalex.org/W2475334473","https://openalex.org/W2510403588","https://openalex.org/W2604294049","https://openalex.org/W2604662567","https://openalex.org/W2723293840","https://openalex.org/W2739273093","https://openalex.org/W2742528903","https://openalex.org/W2911760887","https://openalex.org/W2912236665","https://openalex.org/W2962989965","https://openalex.org/W2963207245","https://openalex.org/W2964052347","https://openalex.org/W2964182926","https://openalex.org/W2966284335","https://openalex.org/W2972269283","https://openalex.org/W2982930951","https://openalex.org/W2986514577","https://openalex.org/W3004543888","https://openalex.org/W3012731857","https://openalex.org/W3012754345","https://openalex.org/W3012782947","https://openalex.org/W3012833893","https://openalex.org/W3023259715","https://openalex.org/W3033138048","https://openalex.org/W3034552531","https://openalex.org/W3034710094","https://openalex.org/W3035183452","https://openalex.org/W3035318851","https://openalex.org/W3035414587","https://openalex.org/W3038117087","https://openalex.org/W3080651853","https://openalex.org/W3081362488","https://openalex.org/W3088463703","https://openalex.org/W3093739590","https://openalex.org/W3093945404","https://openalex.org/W3093965394","https://openalex.org/W3098024612","https://openalex.org/W3100127252","https://openalex.org/W3117684406","https://openalex.org/W3122507327","https://openalex.org/W3133858856","https://openalex.org/W3152501898","https://openalex.org/W3153687269","https://openalex.org/W3155624780","https://openalex.org/W3155632409","https://openalex.org/W3156978171","https://openalex.org/W3166439894","https://openalex.org/W3169936356","https://openalex.org/W3173839890","https://openalex.org/W3174341621","https://openalex.org/W3190524507","https://openalex.org/W3208642157","https://openalex.org/W3209428314","https://openalex.org/W3210344344","https://openalex.org/W3210980860","https://openalex.org/W4205952419","https://openalex.org/W4210334834","https://openalex.org/W4224926669","https://openalex.org/W4226150639","https://openalex.org/W4226432804","https://openalex.org/W4226453472","https://openalex.org/W4283731685","https://openalex.org/W4284706321","https://openalex.org/W4287324111","https://openalex.org/W4294977709","https://openalex.org/W4382239994","https://openalex.org/W4386114032","https://openalex.org/W6770169410","https://openalex.org/W6780163352"],"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/W4238861846","https://openalex.org/W790944756"],"abstract_inverted_index":{"To":[0],"alleviate":[1],"the":[2,37,47,68,94,122],"problem":[3],"of":[4,46,79,97],"information":[5,15],"explosion,":[6],"recommender":[7,24,51,84,101],"systems":[8,25],"are":[9,21,40,64],"widely":[10],"deployed":[11],"to":[12,26,55,66],"provide":[13,75,129],"personalized":[14],"filtering":[16],"services.":[17],"Usually,":[18],"embedding":[19,38,69,80,98],"tables":[20,39],"employed":[22],"in":[23,49,83,100],"transform":[27],"high-dimensional":[28],"sparse":[29],"one-hot":[30],"vectors":[31],"into":[32,109],"dense":[33],"real-valued":[34],"embeddings.":[35],"However,":[36],"huge":[41],"and":[42,59,93,116,128],"account":[43],"for":[44,132],"most":[45],"parameters":[48],"industrial-scale":[50],"systems.":[52,85,102],"In":[53,71],"order":[54],"reduce":[56],"memory":[57],"costs":[58],"improve":[60],"efficiency,":[61],"various":[62],"approaches":[63,82,108],"proposed":[65],"compress":[67],"tables.":[70],"this":[72,133],"survey,":[73],"we":[74,104,120],"a":[76],"comprehensive":[77],"review":[78],"compression":[81,99],"We":[86],"first":[87],"introduce":[88],"deep":[89],"learning":[90],"recommendation":[91],"models":[92],"basic":[95],"concept":[96],"Subsequently,":[103],"systematically":[105],"organize":[106],"existing":[107],"three":[110],"categories:":[111],"low":[112],"precision,":[113],"mixed":[114],"dimension,":[115],"weight":[117],"sharing.":[118],"Lastly,":[119],"summarize":[121],"survey":[123],"with":[124],"some":[125],"general":[126],"suggestions":[127],"future":[130],"prospects":[131],"field.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":7}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}