{"id":"https://openalex.org/W4412377864","doi":"https://doi.org/10.1145/3726302.3730233","title":"Multi-Interest Matching for Personalized News Recommendation with Large Language Models","display_name":"Multi-Interest Matching for Personalized News Recommendation with Large Language Models","publication_year":2025,"publication_date":"2025-07-13","ids":{"openalex":"https://openalex.org/W4412377864","doi":"https://doi.org/10.1145/3726302.3730233"},"language":"en","primary_location":{"id":"doi:10.1145/3726302.3730233","doi":"https://doi.org/10.1145/3726302.3730233","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730233","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730233","source":{"id":"https://openalex.org/S4363608773","display_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730233","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056171729","display_name":"Hongxiang Lin","orcid":"https://orcid.org/0009-0000-4822-7165","observed_orcids":["https://orcid.org/0009-0000-4822-7165"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4405259410","display_name":"Meituan (China)","ror":"https://ror.org/0272kpg92","country_code":"CN","type":"company","lineage":["https://openalex.org/I4405259410"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongxiang Lin","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China and Meituan Inc., Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-4822-7165","affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China and Meituan Inc., Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4405259410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052806927","display_name":"Yixiao Zhou","orcid":"https://orcid.org/0000-0002-6142-5956","observed_orcids":["https://orcid.org/0000-0002-6142-5956"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixiao Zhou","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6142-5956","affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118969354","display_name":"Huiying Hu","orcid":"https://orcid.org/0009-0004-0990-1232","observed_orcids":["https://orcid.org/0009-0004-0990-1232"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiying Hu","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-0990-1232","affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101587591","display_name":"Xiaoqing Lyu","orcid":"https://orcid.org/0000-0003-2354-7749","observed_orcids":["https://orcid.org/0000-0003-2354-7749","https://orcid.org/0000-0001-7204-3382"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqing Lyu","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China and State Key Laboratory of Multimedia Information Processing, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7204-3382","affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China and State Key Laboratory of Multimedia Information Processing, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.215,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78189519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2612","last_page":"2616"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":9.999999747378752e-05,"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/T10028","display_name":"Topic Modeling","score":0.0,"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/personalized-news-recommendation","display_name":"personalized news recommendation","score":0.9929999709129333},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.9769999980926514},{"id":"https://openalex.org/keywords/user-interest-modeling","display_name":"user interest modeling","score":0.6340000033378601},{"id":"https://openalex.org/keywords/information-overload","display_name":"information overload","score":0.7269999980926514}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7894769310951233},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6774888038635254},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4688511788845062},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4118877947330475},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40385016798973083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.357719361782074},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33743590116500854},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3256149888038635},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06985020637512207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.057577699422836304}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3726302.3730233","doi":"https://doi.org/10.1145/3726302.3730233","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730233","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730233","source":{"id":"https://openalex.org/S4363608773","display_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3726302.3730233","doi":"https://doi.org/10.1145/3726302.3730233","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730233","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730233","source":{"id":"https://openalex.org/S4363608773","display_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412377864.pdf","grobid_xml":"https://content.openalex.org/works/W4412377864.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W2950421571","https://openalex.org/W2964536660","https://openalex.org/W2970793364","https://openalex.org/W3034236656","https://openalex.org/W3034503922","https://openalex.org/W3154275079","https://openalex.org/W3155368131","https://openalex.org/W3173584449","https://openalex.org/W3182452706","https://openalex.org/W4224315167","https://openalex.org/W4224903831","https://openalex.org/W4284697165","https://openalex.org/W4285221954"],"related_works":["https://openalex.org/W1972035260","https://openalex.org/W4301594054","https://openalex.org/W2794488505","https://openalex.org/W2169518243","https://openalex.org/W3125889879","https://openalex.org/W3124422538","https://openalex.org/W2295467472","https://openalex.org/W2097909533","https://openalex.org/W3125188128","https://openalex.org/W2144398666"],"abstract_inverted_index":{"Personalized":[0,38],"news":[1],"recommendation":[2],"plays":[3],"a":[4,36,62,72],"vital":[5],"role":[6],"in":[7,14],"mitigating":[8],"information":[9],"overload,":[10],"yet":[11],"challenges":[12],"persist":[13],"accurately":[15],"capturing":[16],"user":[17,50,103],"preferences":[18],"and":[19,26,56,83],"fine-grained":[20,90],"interests.":[21,91],"Leveraging":[22],"the":[23,53,111],"semantic":[24],"understanding":[25],"extraction":[27],"capabilities":[28],"of":[29,102,113],"large":[30],"language":[31],"models":[32,49],"(LLMs),":[33],"we":[34,60],"propose":[35],"Multi-Interest":[37],"News":[39,74],"Recommendation":[40],"(MIPNR)":[41],"model":[42,79],"to":[43,68,78,88,97],"address":[44],"these":[45],"issues.":[46],"MIPNR":[47],"separately":[48],"interests":[51],"at":[52],"user,":[54],"news,":[55],"entity":[57,81],"levels.":[58],"Specifically,":[59],"introduce":[61],"Category-Guided":[63],"Interest-News":[64],"Matching":[65],"(CGIN-Matching)":[66],"method":[67],"identify":[69],"potential":[70],"interests,":[71],"Local":[73],"Entity":[75],"Graph":[76],"(LNEG)":[77],"subtle":[80],"relationships,":[82],"an":[84],"entity-wise":[85],"attention":[86],"mechanism":[87],"extract":[89],"In":[92],"addition,":[93],"LLMs":[94],"are":[95],"used":[96],"generate":[98],"explicit":[99],"textual":[100],"descriptions":[101],"preferences.":[104],"Extensive":[105],"experiments":[106],"on":[107],"real-world":[108],"datasets":[109],"demonstrate":[110],"effectiveness":[112],"our":[114],"approach.":[115]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2025-10-10T00:00:00"}