{"id":"https://openalex.org/W4396843964","doi":"https://doi.org/10.1145/3589335.3651554","title":"RimiRec: Modeling Refined Multi-interest in Hierarchical Structure for Recommendation","display_name":"RimiRec: Modeling Refined Multi-interest in Hierarchical Structure for Recommendation","publication_year":2024,"publication_date":"2024-05-12","ids":{"openalex":"https://openalex.org/W4396843964","doi":"https://doi.org/10.1145/3589335.3651554"},"language":"en","primary_location":{"id":"doi:10.1145/3589335.3651554","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3651554","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3651554","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3651554","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5097927037","display_name":"Haolei Pei","orcid":"https://orcid.org/0000-0003-1481-7719"},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haolei Pei","raw_affiliation_strings":["NetEase Inc., Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"NetEase Inc., Hangzhou, China","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027551898","display_name":"Yuanyuan Xu","orcid":"https://orcid.org/0009-0001-1183-3150"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Xu","raw_affiliation_strings":["Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051163326","display_name":"Yangping Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangping Zhu","raw_affiliation_strings":["NetEase Inc., Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"NetEase Inc., Hangzhou, China","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114159810","display_name":"Yuan Nie","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Nie","raw_affiliation_strings":["NetEase Inc., Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"NetEase Inc., Hangzhou, China","institution_ids":["https://openalex.org/I4210091137"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5097927037"],"corresponding_institution_ids":["https://openalex.org/I4210091137"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08524569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"746","last_page":"749"},"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/T10028","display_name":"Topic Modeling","score":0.9919999837875366,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7008434534072876},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4130953550338745},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3474160432815552},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1403234601020813}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7008434534072876},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4130953550338745},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3474160432815552},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1403234601020813}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589335.3651554","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3651554","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3651554","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3589335.3651554","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3651554","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3651554","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4396843964.pdf"},"referenced_works_count":4,"referenced_works":["https://openalex.org/W2982902390","https://openalex.org/W4290927958","https://openalex.org/W4367310113","https://openalex.org/W4386729443"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Industrial":[0],"recommender":[1],"systems":[2],"usually":[3],"consist":[4],"of":[5,17,129],"the":[6,10,15,59,78,101,107,124,127,133,153],"retrieval":[7,22,130],"stage":[8,23],"and":[9,19,33,54,75,110,144],"ranking":[11],"stage,":[12,106,126],"to":[13,28,89,136],"handle":[14],"billion-scale":[16],"users":[18,119],"items.":[20],"The":[21],"retrieves":[24],"candidate":[25],"items":[26,140],"relevant":[27],"user":[29,40,51],"interests":[30],"for":[31,98],"recommendations":[32],"has":[34,161],"attracted":[35],"much":[36],"attention.":[37],"Frequently,":[38],"a":[39,45,50,85,95],"shows":[41],"refined":[42,92],"multi-interests":[43],"in":[44,61,94],"hierarchical":[46,62,73,96,103,108],"structure.":[47],"For":[48],"example,":[49],"likes":[52],"Conan":[53],"Kuroba":[55],"Kaito,":[56],"which":[57],"are":[58,120],"roles":[60],"structure\"Animation,":[63],"Japanese":[64],"Animation,":[65],"Detective":[66],"Conan\".However,":[67],"most":[68],"existing":[69],"methods":[70],"ignore":[71],"this":[72],"nature,":[74],"simply":[76],"average":[77],"fine-grained":[79],"interest":[80],"information.":[81],"Therefore,":[82],"we":[83],"propose":[84],"novel":[86],"two-stage":[87],"approach":[88,155],"explicitly":[90],"modeling":[91],"multi-interest":[93,104],"structure":[97],"recommendation.":[99],"In":[100,123],"first":[102],"mining":[105],"clustering":[109],"transformer-based":[111],"model":[112],"adaptively":[113],"generate":[114],"circles":[115],"or":[116],"sub-circles":[117],"that":[118,152],"interested":[121],"in.":[122],"second":[125],"partition":[128],"space":[131],"allows":[132],"EBR":[134],"models":[135],"deal":[137],"only":[138],"with":[139],"within":[141],"each":[142],"circle":[143],"accurately":[145],"capture":[146],"users'":[147],"interests.":[148],"Experimental":[149],"results":[150],"show":[151],"proposed":[154],"achieves":[156],"state-of-the-art":[157],"performance.":[158],"Our":[159],"framework":[160],"also":[162],"been":[163],"deployed":[164],"at":[165],"Lofter.":[166]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}