{"id":"https://openalex.org/W2798972759","doi":"https://doi.org/10.1145/3209978.3209991","title":"Collaborative Memory Network for Recommendation Systems","display_name":"Collaborative Memory Network for Recommendation Systems","publication_year":2018,"publication_date":"2018-06-27","ids":{"openalex":"https://openalex.org/W2798972759","doi":"https://doi.org/10.1145/3209978.3209991","mag":"2798972759"},"language":"en","primary_location":{"id":"doi:10.1145/3209978.3209991","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3209978.3209991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 41st International ACM SIGIR Conference on Research &amp; Development in Information Retrieval","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1804.10862","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060141606","display_name":"Travis Ebesu","orcid":null},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Travis Ebesu","raw_affiliation_strings":["Santa Clara University, Santa Clara, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Santa Clara University, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053959119","display_name":"Bin Shen","orcid":"https://orcid.org/0000-0002-0167-3034"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bin Shen","raw_affiliation_strings":["Google, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, New York, NY, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101972978","display_name":"Yi Fang","orcid":"https://orcid.org/0000-0001-6572-4315"},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Fang","raw_affiliation_strings":["Santa Clara University, Santa Clara, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Santa Clara University, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I16269868"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":73.2133,"has_fulltext":false,"cited_by_count":293,"citation_normalized_percentile":{"value":0.99904984,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"515","last_page":"524"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9710999727249146,"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":0.9501000046730042,"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":0.8418939113616943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.544305145740509},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5066826939582825},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.499697208404541},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4970610439777374},{"id":"https://openalex.org/keywords/memory-model","display_name":"Memory model","score":0.45266517996788025},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44935157895088196},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4245997667312622},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.42141929268836975},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4139060080051422},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.41129767894744873},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3758726716041565},{"id":"https://openalex.org/keywords/shared-memory","display_name":"Shared memory","score":0.24540701508522034}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8418939113616943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.544305145740509},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5066826939582825},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.499697208404541},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4970610439777374},{"id":"https://openalex.org/C12186640","wikidata":"https://www.wikidata.org/wiki/Q6815743","display_name":"Memory model","level":3,"score":0.45266517996788025},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44935157895088196},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4245997667312622},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.42141929268836975},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4139060080051422},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.41129767894744873},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3758726716041565},{"id":"https://openalex.org/C133875982","wikidata":"https://www.wikidata.org/wiki/Q764810","display_name":"Shared memory","level":2,"score":0.24540701508522034},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3209978.3209991","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3209978.3209991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 41st International ACM SIGIR Conference on Research &amp; Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1804.10862","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1804.10862","pdf_url":"https://arxiv.org/pdf/1804.10862","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:1804.10862","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1804.10862","pdf_url":"https://arxiv.org/pdf/1804.10862","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1486317198","https://openalex.org/W1677182931","https://openalex.org/W1720514416","https://openalex.org/W1987431925","https://openalex.org/W1994389483","https://openalex.org/W2038585576","https://openalex.org/W2099866409","https://openalex.org/W2108920354","https://openalex.org/W2133266261","https://openalex.org/W2133564696","https://openalex.org/W2135790056","https://openalex.org/W2137028279","https://openalex.org/W2140310134","https://openalex.org/W2157881433","https://openalex.org/W2159094788","https://openalex.org/W2194775991","https://openalex.org/W2210549170","https://openalex.org/W2253995343","https://openalex.org/W2293453011","https://openalex.org/W2295739661","https://openalex.org/W2475334473","https://openalex.org/W2515144511","https://openalex.org/W2557283755","https://openalex.org/W2577986441","https://openalex.org/W2578446670","https://openalex.org/W2579104478","https://openalex.org/W2583674722","https://openalex.org/W2592667944","https://openalex.org/W2605350416","https://openalex.org/W2613725451","https://openalex.org/W2619206542","https://openalex.org/W2739273093","https://openalex.org/W2741249238","https://openalex.org/W2746011824","https://openalex.org/W2749348810","https://openalex.org/W2949608135","https://openalex.org/W2951008357","https://openalex.org/W2951707557","https://openalex.org/W2963579811","https://openalex.org/W2964052347","https://openalex.org/W2964091467","https://openalex.org/W2964308564","https://openalex.org/W2964316331","https://openalex.org/W3099233101","https://openalex.org/W3101023724","https://openalex.org/W3102560000","https://openalex.org/W4285719527"],"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":{"Recommendation":[0],"systems":[1],"play":[2],"a":[3,27,52,68,96,108,145],"vital":[4],"role":[5],"to":[6,35,71,143,163],"keep":[7],"users":[8],"engaged":[9],"with":[10,46,123,138,157],"personalized":[11],"content":[12],"in":[13,32,95,129],"modern":[14],"online":[15],"platforms.":[16],"Deep":[17],"learning":[18,44],"has":[19],"revolutionized":[20],"many":[21],"research":[22],"fields":[23],"and":[24,91,111,126,160,191,226],"there":[25],"is":[26],"recent":[28],"surge":[29],"of":[30,55,76,83,87,103,195,204,215,230],"interest":[31],"applying":[33],"it":[34],"collaborative":[36],"filtering":[37],"(CF).":[38],"However,":[39],"existing":[40],"methods":[41],"compose":[42],"deep":[43,69],"architectures":[45,175],"the":[47,73,81,84,101,116,124,130,139,150,155,158,165,192,202,216,222,228],"latent":[48,88],"factor":[49,89],"model":[50,90],"ignoring":[51],"major":[53],"class":[54],"CF":[56,77,196],"models,":[57],"neighborhood":[58,117,156],"or":[59],"memory-based":[60],"approaches.":[61],"We":[62],"propose":[63],"Collaborative":[64],"Memory":[65,104],"Networks":[66],"(CMN),":[67],"architecture":[70],"unify":[72],"two":[74],"classes":[75,194],"models":[78],"capitalizing":[79],"on":[80,206],"strengths":[82],"global":[85],"structure":[86,94],"local":[92],"neighborhood-based":[93],"nonlinear":[97],"fashion.":[98],"Motivated":[99],"by":[100],"success":[102],"Networks,":[105],"we":[106,182],"fuse":[107],"memory":[109,131,170,189],"component":[110],"neural":[112,140],"attention":[113,141,217],"mechanism":[114,142],"as":[115],"component.":[118],"The":[119],"associative":[120],"addressing":[121],"scheme":[122],"user":[125,159],"item":[127,161],"memories":[128,162],"module":[132,152],"encodes":[133],"complex":[134,178],"user-item":[135,146,179],"relations":[136],"coupled":[137],"learn":[144],"specific":[147],"neighborhood.":[148],"Finally,":[149],"output":[151],"jointly":[153],"exploits":[154],"produce":[164],"ranking":[166],"score.":[167],"Stacking":[168],"multiple":[169],"modules":[171],"together":[172],"yield":[173],"deeper":[174],"capturing":[176],"increasingly":[177],"relations.":[180],"Furthermore,":[181],"show":[183],"strong":[184],"connections":[185],"between":[186],"CMN":[187,205],"components,":[188],"networks":[190],"three":[193,207],"models.":[197],"Comprehensive":[198],"experimental":[199],"results":[200],"demonstrate":[201],"effectiveness":[203],"public":[208],"datasets":[209],"outperforming":[210],"competitive":[211],"baselines.":[212],"Qualitative":[213],"visualization":[214],"weights":[218],"provide":[219],"insight":[220],"into":[221],"model's":[223],"recommendation":[224],"process":[225],"suggest":[227],"presence":[229],"higher":[231],"order":[232],"interactions.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":39},{"year":2022,"cited_by_count":47},{"year":2021,"cited_by_count":76},{"year":2020,"cited_by_count":64},{"year":2019,"cited_by_count":37},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
