{"id":"https://openalex.org/W4386729896","doi":"https://doi.org/10.1145/3604915.3608801","title":"\u2728 Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations","display_name":"\u2728 Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations","publication_year":2023,"publication_date":"2023-09-14","ids":{"openalex":"https://openalex.org/W4386729896","doi":"https://doi.org/10.1145/3604915.3608801"},"language":"en","primary_location":{"id":"doi:10.1145/3604915.3608801","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3604915.3608801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Conference on Recommender Systems","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/A5001872756","display_name":"Boming Yang","orcid":"https://orcid.org/0009-0004-6298-5711"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Boming Yang","raw_affiliation_strings":["The University of Tokyo, Japan"],"raw_orcid":"https://orcid.org/0009-0004-6298-5711","affiliations":[{"raw_affiliation_string":"The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002039283","display_name":"Dairui Liu","orcid":"https://orcid.org/0000-0002-8573-3857"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Dairui Liu","raw_affiliation_strings":["University College Dublin, Ireland"],"raw_orcid":"https://orcid.org/0000-0002-8573-3857","affiliations":[{"raw_affiliation_string":"University College Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011886931","display_name":"Toyotaro Suzumura","orcid":"https://orcid.org/0000-0001-6412-8386"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toyotaro Suzumura","raw_affiliation_strings":["The University of Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0001-6412-8386","affiliations":[{"raw_affiliation_string":"The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009000289","display_name":"Ruihai Dong","orcid":"https://orcid.org/0000-0002-2509-1370"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Ruihai Dong","raw_affiliation_strings":["University College Dublin, Ireland"],"raw_orcid":"https://orcid.org/0000-0002-2509-1370","affiliations":[{"raw_affiliation_string":"University College Dublin, Ireland","institution_ids":["https://openalex.org/I100930933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101537931","display_name":"Irene Li","orcid":"https://orcid.org/0000-0002-1851-5390"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Irene Li","raw_affiliation_strings":["The University of Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-1851-5390","affiliations":[{"raw_affiliation_string":"The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"24","last_page":"34"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9980999827384949,"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":0.9955999851226807,"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/news-aggregator","display_name":"News aggregator","score":0.935772180557251},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7810629606246948},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5073506236076355},{"id":"https://openalex.org/keywords/news-media","display_name":"News media","score":0.5052362084388733},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4865049719810486},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4402598738670349},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.42494046688079834},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4201018512248993},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.35430216789245605},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18587490916252136},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.081125408411026}],"concepts":[{"id":"https://openalex.org/C180505990","wikidata":"https://www.wikidata.org/wiki/Q498267","display_name":"News aggregator","level":2,"score":0.935772180557251},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7810629606246948},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5073506236076355},{"id":"https://openalex.org/C529147693","wikidata":"https://www.wikidata.org/wiki/Q1193236","display_name":"News media","level":2,"score":0.5052362084388733},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4865049719810486},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4402598738670349},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.42494046688079834},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4201018512248993},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.35430216789245605},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18587490916252136},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.081125408411026},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3604915.3608801","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3604915.3608801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320317898","display_name":"Foundation for Computational Science","ror":null},{"id":"https://openalex.org/F4320322832","display_name":"University of Tokyo","ror":"https://ror.org/057zh3y96"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320335125","display_name":"RIKEN","ror":"https://ror.org/01sjwvz98"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2094286023","https://openalex.org/W2097951507","https://openalex.org/W2157331557","https://openalex.org/W2250539671","https://openalex.org/W2743333519","https://openalex.org/W2744998402","https://openalex.org/W2950416834","https://openalex.org/W2950421571","https://openalex.org/W2963869731","https://openalex.org/W2988777870","https://openalex.org/W3001654774","https://openalex.org/W3014828506","https://openalex.org/W3034236656","https://openalex.org/W3034503922","https://openalex.org/W3103448498","https://openalex.org/W3190660689","https://openalex.org/W4285248211","https://openalex.org/W4317931697"],"related_works":["https://openalex.org/W3036238356","https://openalex.org/W2603387358","https://openalex.org/W2767445978","https://openalex.org/W2570892890","https://openalex.org/W3092831610","https://openalex.org/W4206057490","https://openalex.org/W3158981323","https://openalex.org/W2741144792","https://openalex.org/W4230682643","https://openalex.org/W2804801821"],"abstract_inverted_index":{"Precisely":[0],"recommending":[1],"candidate":[2,150,155],"news":[3,15,77,110,120,125,130,151,156,163],"articles":[4],"to":[5,30,54,91,118,137,153],"users":[6,87],"has":[7],"always":[8],"been":[9],"a":[10,50,71,101,108,128,138,144,149],"core":[11],"challenge":[12],"for":[13,56],"personalized":[14,93],"recommendation":[16,94],"systems.":[17,95],"Most":[18],"recent":[19],"works":[20],"primarily":[21],"focus":[22],"on":[23,160],"using":[24],"advanced":[25],"natural":[26],"language":[27],"processing":[28],"techniques":[29],"extract":[31],"semantic":[32,63],"information":[33],"from":[34,42,85],"rich":[35],"textual":[36],"data,":[37],"employing":[38],"content-based":[39],"methods":[40],"derived":[41],"local":[43,89],"historical":[44,124,129],"news.":[45],"However,":[46],"this":[47,67,98,135],"approach":[48,136],"lacks":[49],"global":[51,82,109,145],"perspective,":[52],"failing":[53],"account":[55],"users\u2019":[57],"hidden":[58],"motivations":[59],"and":[60,112,148],"behaviors":[61],"beyond":[62],"information.":[64],"To":[65],"address":[66],"challenge,":[68],"we":[69,133],"propose":[70],"novel":[72],"model":[73,174],"called":[74],"GLORY":[75],"(Global-LOcal":[76],"Recommendation":[78],"sYstem),":[79],"which":[80,106],"combines":[81],"representations":[83,90,126],"learned":[84],"other":[86],"with":[88],"enhance":[92,154],"We":[96],"accomplish":[97],"by":[99,127],"constructing":[100],"Global-aware":[102],"Historical":[103],"News":[104,141],"Encoder,":[105,142],"includes":[107],"graph":[111,115,147],"employs":[113],"gated":[114],"neural":[116],"networks":[117],"enrich":[119],"representations,":[121],"thereby":[122],"fusing":[123],"aggregator.":[131],"Similarly,":[132],"extend":[134],"Global":[139],"Candidate":[140],"utilizing":[143],"entity":[146],"aggregator":[152],"representation.":[157],"Evaluation":[158],"results":[159],"two":[161],"public":[162],"datasets":[164],"demonstrate":[165],"that":[166],"our":[167,173],"method":[168],"outperforms":[169],"existing":[170],"approaches.":[171],"Furthermore,":[172],"offers":[175],"more":[176],"diverse":[177],"recommendations1.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2023-09-15T00:00:00"}
