{"id":"https://openalex.org/W4403319934","doi":"https://doi.org/10.1145/3687151.3687163","title":"Large Scale Hierarchical User Interest Modeling for Click-through Rate Prediction","display_name":"Large Scale Hierarchical User Interest Modeling for Click-through Rate Prediction","publication_year":2024,"publication_date":"2024-10-11","ids":{"openalex":"https://openalex.org/W4403319934","doi":"https://doi.org/10.1145/3687151.3687163"},"language":"en","primary_location":{"id":"doi:10.1145/3687151.3687163","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3687151.3687163","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 Recommender Systems Challenge 2024","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3687151.3687163","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065438211","display_name":"Taofeng Xue","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Taofeng Xue","raw_affiliation_strings":["Meituan Search and Content Intelligence, China"],"raw_orcid":"https://orcid.org/0009-0005-7419-1035","affiliations":[{"raw_affiliation_string":"Meituan Search and Content Intelligence, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101831800","display_name":"Zhimin Lin","orcid":"https://orcid.org/0009-0009-9882-9215"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhimin Lin","raw_affiliation_strings":["Meituan Search and Content Intelligence, China"],"raw_orcid":"https://orcid.org/0009-0009-9882-9215","affiliations":[{"raw_affiliation_string":"Meituan Search and Content Intelligence, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101864810","display_name":"Zijian Zhang","orcid":"https://orcid.org/0000-0002-1748-4924"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zijian Zhang","raw_affiliation_strings":["Meituan Search and Content Intelligence, China"],"raw_orcid":"https://orcid.org/0000-0002-1748-4924","affiliations":[{"raw_affiliation_string":"Meituan Search and Content Intelligence, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113794703","display_name":"Linsen Guo","orcid":"https://orcid.org/0009-0003-3409-4578"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Linsen Guo","raw_affiliation_strings":["Meituan Search and Content Intelligence, China"],"raw_orcid":"https://orcid.org/0009-0005-8010-8023","affiliations":[{"raw_affiliation_string":"Meituan Search and Content Intelligence, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019025203","display_name":"Haoru Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haoru Chen","raw_affiliation_strings":["Meituan Search and Content Intelligence, China"],"raw_orcid":"https://orcid.org/0009-0002-0250-1426","affiliations":[{"raw_affiliation_string":"Meituan Search and Content Intelligence, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109799636","display_name":"Mengjiao Bao","orcid":"https://orcid.org/0000-0002-8106-5644"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mengjiao Bao","raw_affiliation_strings":["Meituan Search and Content Intelligence, China"],"raw_orcid":"https://orcid.org/0000-0002-8106-5644","affiliations":[{"raw_affiliation_string":"Meituan Search and Content Intelligence, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115601168","display_name":"Peng Yan","orcid":"https://orcid.org/0000-0002-6211-4543"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng Yan","raw_affiliation_strings":["Meituan Search and Content Intelligence, China"],"raw_orcid":"https://orcid.org/0000-0002-6211-4543","affiliations":[{"raw_affiliation_string":"Meituan Search and Content Intelligence, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5065438211"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.492,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.87229331,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"53","last_page":"57"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9908999800682068,"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"}},{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9860000014305115,"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":0.7364826202392578},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6463784575462341},{"id":"https://openalex.org/keywords/click-through-rate","display_name":"Click-through rate","score":0.5819154977798462},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33131155371665955},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2035180926322937}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7364826202392578},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6463784575462341},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.5819154977798462},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33131155371665955},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2035180926322937},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3687151.3687163","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3687151.3687163","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 Recommender Systems Challenge 2024","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3687151.3687163","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3687151.3687163","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 Recommender Systems Challenge 2024","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2723293840","https://openalex.org/W2962745591","https://openalex.org/W3208543775","https://openalex.org/W4385568029","https://openalex.org/W4385568236"],"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/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"With":[0],"the":[1,16,57,60,68,103,108,115,147,154,176],"explosive":[2],"growth":[3],"of":[4,18,59,71,111,169],"online":[5],"information,":[6],"recommender":[7],"systems":[8],"have":[9],"emerged":[10],"as":[11],"indispensable":[12],"tools":[13],"for":[14,43,56],"navigating":[15],"complexities":[17],"content":[19],"generation,":[20],"discovery":[21],"and":[22,36,66,95,126,149,171],"consumption.":[23],"The":[24],"RecSys":[25],"2024":[26],"Challenge,":[27],"organized":[28],"by":[29,152],"Ekstra":[30],"Bladet,":[31],"provides":[32],"a":[33,37,79,167],"comprehensive":[34],"dataset":[35],"robust":[38],"news":[39,61,72],"recommendation":[40],"evaluation":[41],"framework":[42],"tackling":[44],"multifaceted":[45],"challenges":[46],"including":[47],"modeling":[48],"user":[49,64,119,127],"preferences":[50],"based":[51],"on":[52,63,175],"implicit":[53],"behavior,":[54],"accounting":[55],"influence":[58],"agenda":[62],"interests,":[65],"managing":[67],"rapid":[69],"decay":[70],"items.":[73],"In":[74],"this":[75,88],"paper,":[76],"we":[77,101,131],"propose":[78],"novel":[80],"Hierarchical":[81],"User":[82],"Interest":[83],"Modeling":[84],"(HUIM)":[85],"approach":[86],"to":[87,113,144],"challenge,":[89],"leveraging":[90],"both":[91],"long-term":[92,148],"invariant":[93],"interests":[94,117,151],"short-term":[96,150],"rapidly":[97],"changing":[98],"interests.":[99,136],"Specifically,":[100],"utilize":[102],"multimodal":[104],"representations":[105],"along":[106],"with":[107,158],"side":[109],"information":[110],"items":[112],"distill":[114],"long-standing":[116],"from":[118],"historical":[120],"behaviors.":[121],"By":[122],"analyzing":[123],"real-time":[124],"context":[125],"behavioral":[128],"path":[129],"patterns,":[130],"identify":[132],"their":[133],"fine-grained":[134,156],"instant":[135],"Finally,":[137],"an":[138],"interest":[139],"fusion":[140],"network":[141],"is":[142],"proposed":[143],"adaptively":[145],"fuse":[146],"contrasting":[153],"query-aware":[155],"behaviors":[157],"query-level":[159],"cross":[160],"entropy":[161],"loss.":[162],"Our":[163],"team,":[164],"BlackPearl,":[165],"achieved":[166],"score":[168],"0.8815":[170],"ranked":[172],"2nd":[173],"place":[174],"final":[177],"leaderboard.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
