{"id":"https://openalex.org/W4410636917","doi":"https://doi.org/10.1145/3701716.3715514","title":"Large Memory Network for Recommendation","display_name":"Large Memory Network for Recommendation","publication_year":2025,"publication_date":"2025-05-08","ids":{"openalex":"https://openalex.org/W4410636917","doi":"https://doi.org/10.1145/3701716.3715514"},"language":"en","primary_location":{"id":"doi:10.1145/3701716.3715514","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3701716.3715514","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3715514","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3715514","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Hui Lu","orcid":"https://orcid.org/0000-0002-5133-4452"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hui Lu","raw_affiliation_strings":["ByteDance, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5133-4452","affiliations":[{"raw_affiliation_string":"ByteDance, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081043925","display_name":"Zheng Chai","orcid":"https://orcid.org/0000-0001-9823-2990"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng Chai","raw_affiliation_strings":["ByteDance, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9823-2990","affiliations":[{"raw_affiliation_string":"ByteDance, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053722924","display_name":"Yuchao Zheng","orcid":"https://orcid.org/0000-0002-9804-2721"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuchao Zheng","raw_affiliation_strings":["ByteDance, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9804-2721","affiliations":[{"raw_affiliation_string":"ByteDance, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075843367","display_name":"Zhe Chen","orcid":"https://orcid.org/0009-0003-2716-9885"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhe Chen","raw_affiliation_strings":["ByteDance, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-2716-9885","affiliations":[{"raw_affiliation_string":"ByteDance, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067066491","display_name":"Deping Xie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deping Xie","raw_affiliation_strings":["ByteDance, San Jose, CA, USA"],"raw_orcid":"https://orcid.org/0009-0008-7412-3536","affiliations":[{"raw_affiliation_string":"ByteDance, San Jose, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106023447","display_name":"Peng Xu","orcid":"https://orcid.org/0009-0008-2580-0983"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng Xu","raw_affiliation_strings":["ByteDance, San Jose, CA, USA"],"raw_orcid":"https://orcid.org/0009-0008-2580-0983","affiliations":[{"raw_affiliation_string":"ByteDance, San Jose, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034858930","display_name":"Xun Zhou","orcid":"https://orcid.org/0009-0001-6788-8978"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xun Zhou","raw_affiliation_strings":["ByteDance, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-6788-8978","affiliations":[{"raw_affiliation_string":"ByteDance, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Di Wu","orcid":"https://orcid.org/0009-0006-8084-7608"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Di Wu","raw_affiliation_strings":["ByteDance, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0006-8084-7608","affiliations":[{"raw_affiliation_string":"ByteDance, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1162","last_page":"1166"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9979000091552734,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9957000017166138,"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":0.7364600300788879}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7364600300788879}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3701716.3715514","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3701716.3715514","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3715514","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3701716.3715514","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3701716.3715514","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3715514","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410636917.pdf","grobid_xml":"https://content.openalex.org/works/W4410636917.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1502957213","https://openalex.org/W2124509324","https://openalex.org/W2723293840","https://openalex.org/W2945772520","https://openalex.org/W2962745591","https://openalex.org/W2963448850","https://openalex.org/W2990138404","https://openalex.org/W3093519337","https://openalex.org/W3106252282","https://openalex.org/W3200664681","https://openalex.org/W4226337336","https://openalex.org/W4284673697","https://openalex.org/W4306317673","https://openalex.org/W4385562613"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Modeling":[0],"user":[1,11,22,94],"behavior":[2,96],"sequences":[3],"in":[4,98,119,153],"recommender":[5],"systems":[6],"is":[7,45],"essential":[8],"for":[9,20,35,53],"understanding":[10],"preferences":[12],"over":[13],"time,":[14],"enabling":[15],"personalized":[16],"and":[17,24,92,130],"accurate":[18],"recommendations":[19],"improving":[21],"retention":[23],"enhancing":[25],"business":[26],"values.":[27],"Despite":[28],"its":[29],"significance,":[30],"there":[31],"are":[32,64,139],"two":[33],"challenges":[34],"current":[36,62],"sequential":[37],"modeling":[38],"approaches.":[39],"From":[40],"the":[41,59,73,104,109,120,142],"spatial":[42],"dimension,":[43,61],"it":[44],"difficult":[46],"to":[47,67,72,117],"mutually":[48],"perceive":[49],"similar":[50],"users'":[51],"interests":[52,70],"a":[54,87,99],"generalized":[55],"intention":[56],"understanding;":[57],"from":[58],"temporal":[60],"methods":[63],"generally":[65],"prone":[66],"forgetting":[68],"long-term":[69],"due":[71],"fixed-length":[74],"input":[75],"sequence.":[76],"In":[77],"this":[78],"paper,":[79],"we":[80],"present":[81],"Large":[82],"Memory":[83],"Network":[84],"(LMN),":[85],"providing":[86],"novel":[88],"idea":[89],"by":[90],"compressing":[91],"storing":[93],"history":[95],"information":[97],"large-scale":[100],"memory":[101,110,126],"block.":[102],"With":[103],"elaborated":[105],"online":[106,131],"deployment":[107],"strategy,":[108],"block":[111],"can":[112],"be":[113],"easily":[114],"scaled":[115],"up":[116,128],"million-scale":[118],"industry.":[121],"Extensive":[122],"offline":[123],"comparison":[124],"experiments,":[125,129],"scaling":[127],"A/B":[132],"test":[133],"on":[134],"Douyin":[135,154],"E-Commerce":[136],"Search":[137],"(ECS)":[138],"performed,":[140],"validating":[141],"superior":[143],"performance":[144],"of":[145,158],"LMN.":[146],"Currently,":[147],"LMN":[148],"has":[149],"been":[150],"fully":[151],"deployed":[152],"ECS,":[155],"serving":[156],"millions":[157],"users":[159],"each":[160],"day.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}