{"id":"https://openalex.org/W3152663991","doi":"https://doi.org/10.1145/3442381.3449835","title":"DGCN: Diversified Recommendation with Graph Convolutional Networks","display_name":"DGCN: Diversified Recommendation with Graph Convolutional Networks","publication_year":2021,"publication_date":"2021-04-19","ids":{"openalex":"https://openalex.org/W3152663991","doi":"https://doi.org/10.1145/3442381.3449835","mag":"3152663991"},"language":"en","primary_location":{"id":"doi:10.1145/3442381.3449835","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449835","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 Web Conference 2021","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3442381.3449835","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100681020","display_name":"Yu Zheng","orcid":"https://orcid.org/0000-0002-1837-6730"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Zheng","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology and Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology and Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078622343","display_name":"Chen Gao","orcid":"https://orcid.org/0000-0002-7561-5646"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Gao","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology and Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology and Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101957212","display_name":"Liang Chen","orcid":"https://orcid.org/0009-0006-1967-8075"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Chen","raw_affiliation_strings":["Sun Yat-sen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044100655","display_name":"Depeng Jin","orcid":"https://orcid.org/0000-0003-0419-5514"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Depeng Jin","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology and Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology and Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100355277","display_name":"Yong Li","orcid":"https://orcid.org/0000-0001-5617-1659"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Li","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology and Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology and Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100681020"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":26.1646,"has_fulltext":false,"cited_by_count":130,"citation_normalized_percentile":{"value":0.99642195,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"401","last_page":"412"},"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":0.9977999925613403,"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/T11478","display_name":"Caching and Content Delivery","score":0.9492999911308289,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7472879886627197},{"id":"https://openalex.org/keywords/diversification","display_name":"Diversification (marketing strategy)","score":0.6559649109840393},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5535969734191895},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5439237952232361},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.5088682174682617},{"id":"https://openalex.org/keywords/dilemma","display_name":"Dilemma","score":0.4811016917228699},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.391992449760437},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3841472566127777},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36125779151916504},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22435304522514343},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09869745373725891}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7472879886627197},{"id":"https://openalex.org/C180916674","wikidata":"https://www.wikidata.org/wiki/Q3711935","display_name":"Diversification (marketing strategy)","level":2,"score":0.6559649109840393},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5535969734191895},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5439237952232361},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.5088682174682617},{"id":"https://openalex.org/C2778496695","wikidata":"https://www.wikidata.org/wiki/Q254128","display_name":"Dilemma","level":2,"score":0.4811016917228699},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.391992449760437},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3841472566127777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36125779151916504},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22435304522514343},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09869745373725891},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3442381.3449835","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449835","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 Web Conference 2021","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2108.06952","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2108.06952","pdf_url":"https://arxiv.org/pdf/2108.06952","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":"doi:10.1145/3442381.3449835","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449835","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 Web Conference 2021","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":95,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1556219185","https://openalex.org/W1882958252","https://openalex.org/W1994389483","https://openalex.org/W2033213271","https://openalex.org/W2042281163","https://openalex.org/W2083305840","https://openalex.org/W2095705004","https://openalex.org/W2099471712","https://openalex.org/W2103186657","https://openalex.org/W2105842272","https://openalex.org/W2111094216","https://openalex.org/W2111336742","https://openalex.org/W2140310134","https://openalex.org/W2153579005","https://openalex.org/W2155912844","https://openalex.org/W2158520534","https://openalex.org/W2159094788","https://openalex.org/W2171258484","https://openalex.org/W2173520492","https://openalex.org/W2189162242","https://openalex.org/W2225560834","https://openalex.org/W2295739661","https://openalex.org/W2400255467","https://openalex.org/W2483307068","https://openalex.org/W2491385475","https://openalex.org/W2512971201","https://openalex.org/W2513929965","https://openalex.org/W2519887557","https://openalex.org/W2576271642","https://openalex.org/W2593864460","https://openalex.org/W2604639157","https://openalex.org/W2604662567","https://openalex.org/W2604836762","https://openalex.org/W2605350416","https://openalex.org/W2624407581","https://openalex.org/W2624431344","https://openalex.org/W2723293840","https://openalex.org/W2741249238","https://openalex.org/W2744446984","https://openalex.org/W2770285862","https://openalex.org/W2783666221","https://openalex.org/W2784203924","https://openalex.org/W2785523195","https://openalex.org/W2793768763","https://openalex.org/W2795174038","https://openalex.org/W2798881875","https://openalex.org/W2803794535","https://openalex.org/W2807021761","https://openalex.org/W2808787330","https://openalex.org/W2889755261","https://openalex.org/W2891118880","https://openalex.org/W2894175828","https://openalex.org/W2897429051","https://openalex.org/W2899457523","https://openalex.org/W2913560138","https://openalex.org/W2916106175","https://openalex.org/W2917898551","https://openalex.org/W2945623882","https://openalex.org/W2945827670","https://openalex.org/W2946688064","https://openalex.org/W2947737663","https://openalex.org/W2950289992","https://openalex.org/W2950416834","https://openalex.org/W2951001079","https://openalex.org/W2951222872","https://openalex.org/W2953102581","https://openalex.org/W2953222773","https://openalex.org/W2955179296","https://openalex.org/W2962711740","https://openalex.org/W2962767366","https://openalex.org/W2963323306","https://openalex.org/W2963655167","https://openalex.org/W2963684088","https://openalex.org/W2963826681","https://openalex.org/W2963921057","https://openalex.org/W2964015378","https://openalex.org/W2966799427","https://openalex.org/W2967478025","https://openalex.org/W2998702515","https://openalex.org/W3028827364","https://openalex.org/W3099799908","https://openalex.org/W3100278010","https://openalex.org/W3100592176","https://openalex.org/W3100848837","https://openalex.org/W3101707147","https://openalex.org/W3104030692","https://openalex.org/W3104353018","https://openalex.org/W3106181667","https://openalex.org/W3106439716","https://openalex.org/W3138773240","https://openalex.org/W3170187879","https://openalex.org/W4294170691","https://openalex.org/W4294558607","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622","https://openalex.org/W2556532874"],"abstract_inverted_index":{"These":[0],"years":[1],"much":[2],"effort":[3],"has":[4],"been":[5],"devoted":[6],"to":[7,35,72,101,118],"improving":[8],"the":[9,14,23,26,46,59,70,73,79,103,143,161],"accuracy":[10,104],"or":[11],"relevance":[12],"of":[13,53,81,105,131,145],"recommendation":[15,89],"system.":[16],"Diversity,":[17],"a":[18],"crucial":[19],"factor":[20],"which":[21],"measures":[22],"dissimilarity":[24],"among":[25],"recommended":[27],"items,":[28],"received":[29],"rather":[30],"little":[31],"scrutiny.":[32],"Directly":[33],"related":[34],"user":[36],"satisfaction,":[37],"diversification":[38,54,71],"is":[39,110],"usually":[40],"taken":[41],"into":[42],"consideration":[43],"after":[44],"generating":[45],"candidate":[47,56,75],"items.":[48],"However,":[49],"this":[50,64],"decoupled":[51],"design":[52],"and":[55,126],"generation":[57,76],"makes":[58],"whole":[60],"system":[61],"suboptimal.":[62],"In":[63],"paper,":[65],"we":[66],"aim":[67],"at":[68],"pushing":[69],"upstream":[74],"stage,":[77],"with":[78],"help":[80],"Graph":[82],"Convolutional":[83],"Networks":[84],"(GCN).":[85],"Although":[86],"GCN":[87],"based":[88],"algorithms":[90],"have":[91],"shown":[92],"great":[93],"power":[94],"in":[95,112],"modeling":[96],"complex":[97],"collaborative":[98],"filtering":[99],"effect":[100],"improve":[102],"recommendation,":[106],"how":[107],"diversity":[108],"changes":[109],"ignored":[111],"those":[113],"advanced":[114],"works.":[115],"We":[116,133],"propose":[117],"perform":[119],"rebalanced":[120],"neighbor":[121],"discovering,":[122],"category-boosted":[123],"negative":[124],"sampling":[125],"adversarial":[127],"learning":[128],"on":[129,137,149],"top":[130],"GCN.":[132],"conduct":[134],"extensive":[135],"experiments":[136],"real-world":[138],"datasets.":[139],"Experimental":[140],"results":[141],"verify":[142],"effectiveness":[144],"our":[146,156],"proposed":[147,157],"method":[148,158],"diversification.":[150],"Further":[151],"ablation":[152],"studies":[153],"validate":[154],"that":[155],"significantly":[159],"alleviates":[160],"accuracy-diversity":[162],"dilemma.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":33},{"year":2024,"cited_by_count":40},{"year":2023,"cited_by_count":32},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":3}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}