{"id":"https://openalex.org/W4385568114","doi":"https://doi.org/10.1145/3580305.3599814","title":"Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN)","display_name":"Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN)","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385568114","doi":"https://doi.org/10.1145/3580305.3599814"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599814","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100635664","display_name":"Yin Zhang","orcid":"https://orcid.org/0000-0002-5169-9849"},"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":"Yin Zhang","raw_affiliation_strings":["Google Research, Brain Team, Mountain View, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-5169-9849","affiliations":[{"raw_affiliation_string":"Google Research, Brain Team, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000700211","display_name":"Ruoxi Wang","orcid":"https://orcid.org/0009-0002-4824-1316"},"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":"Ruoxi Wang","raw_affiliation_strings":["Google Research, Brain Team, Mountain View, CA, USA"],"raw_orcid":"https://orcid.org/0009-0002-4824-1316","affiliations":[{"raw_affiliation_string":"Google Research, Brain Team, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055484401","display_name":"Derek Zhiyuan Cheng","orcid":"https://orcid.org/0009-0000-7943-8328"},"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":"Derek Zhiyuan Cheng","raw_affiliation_strings":["Google Research, Brain Team, Mountain View, CA, USA"],"raw_orcid":"https://orcid.org/0009-0000-7943-8328","affiliations":[{"raw_affiliation_string":"Google Research, Brain Team, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044098687","display_name":"Tiansheng Yao","orcid":"https://orcid.org/0009-0000-4025-170X"},"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":"Tiansheng Yao","raw_affiliation_strings":["Google Research, Brain Team, Mountain View, CA, USA"],"raw_orcid":"https://orcid.org/0009-0000-4025-170X","affiliations":[{"raw_affiliation_string":"Google Research, Brain Team, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042916468","display_name":"Xinyang Yi","orcid":"https://orcid.org/0009-0005-9864-3454"},"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":"Xinyang Yi","raw_affiliation_strings":["Google Research, Brain Team, Mountain View, CA, USA"],"raw_orcid":"https://orcid.org/0009-0005-9864-3454","affiliations":[{"raw_affiliation_string":"Google Research, Brain Team, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079085366","display_name":"Lichan Hong","orcid":"https://orcid.org/0009-0004-9563-554X"},"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":"Lichan Hong","raw_affiliation_strings":["Google Research, Brain Team, Mountain View, CA, USA"],"raw_orcid":"https://orcid.org/0009-0004-9563-554X","affiliations":[{"raw_affiliation_string":"Google Research, Brain Team, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048489384","display_name":"James Caverlee","orcid":"https://orcid.org/0000-0001-8350-8528"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Caverlee","raw_affiliation_strings":["Texas A&M University, College Station, TX, USA"],"raw_orcid":"https://orcid.org/0000-0001-8350-8528","affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028125399","display_name":"Ed H.","orcid":"https://orcid.org/0000-0003-3230-5338"},"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":"Ed H. Chi","raw_affiliation_strings":["Google Research, Brain Team, Mountain View, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3230-5338","affiliations":[{"raw_affiliation_string":"Google Research, Brain Team, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5608","last_page":"5617"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9952999949455261,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9891999959945679,"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":0.8054177761077881},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7991799712181091},{"id":"https://openalex.org/keywords/skew","display_name":"Skew","score":0.7135095596313477},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.5061902403831482},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.446539968252182},{"id":"https://openalex.org/keywords/fraction","display_name":"Fraction (chemistry)","score":0.43485522270202637},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2962331771850586},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11925819516181946},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08726584911346436}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8054177761077881},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7991799712181091},{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.7135095596313477},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.5061902403831482},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.446539968252182},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.43485522270202637},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2962331771850586},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11925819516181946},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08726584911346436},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580305.3599814","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1875842236","https://openalex.org/W1964105999","https://openalex.org/W2018571751","https://openalex.org/W2475334473","https://openalex.org/W2809290718","https://openalex.org/W2945827670","https://openalex.org/W2963691377","https://openalex.org/W2972801466","https://openalex.org/W3012881846","https://openalex.org/W3034601242","https://openalex.org/W3035054804","https://openalex.org/W3035261884","https://openalex.org/W3043239945","https://openalex.org/W3080576782","https://openalex.org/W3100278010","https://openalex.org/W3113004165","https://openalex.org/W3156622960","https://openalex.org/W3157014581","https://openalex.org/W3180352486","https://openalex.org/W3208338073","https://openalex.org/W4212951676"],"related_works":["https://openalex.org/W4290802965","https://openalex.org/W4390273403","https://openalex.org/W97789383","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/W2163482186"],"abstract_inverted_index":{"Industry":[0],"recommender":[1,26],"systems":[2],"usually":[3],"suffer":[4],"from":[5],"highly-skewed":[6],"long-tail":[7],"item":[8,31],"distributions":[9],"where":[10],"a":[11],"small":[12],"fraction":[13],"of":[14,19],"the":[15,20,30],"items":[16],"receives":[17],"most":[18],"user":[21,35],"feedback.":[22,36],"This":[23],"skew":[24],"hurts":[25],"quality":[27],"especially":[28],"for":[29],"slices":[32],"without":[33],"much":[34],"While":[37],"there":[38],"have":[39,59],"been":[40,60],"many":[41],"research":[42],"advances":[43],"made":[44,61],"in":[45,50,62],"academia,":[46],"deploying":[47],"these":[48,68],"methods":[49,69],"production":[51],"is":[52,66],"very":[53,56],"difficult":[54],"and":[55,79,83],"few":[57],"improvements":[58],"industry.":[63],"One":[64],"challenge":[65],"that":[67],"often":[70],"hurt":[71],"overall":[72],"performance;":[73],"additionally,":[74],"they":[75],"could":[76],"be":[77],"complex":[78],"expensive":[80],"to":[81],"train":[82],"serve.":[84]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":10}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}