{"id":"https://openalex.org/W4403319955","doi":"https://doi.org/10.1145/3687151.3687156","title":"Leveraging LightGBM Ranker for Efficient Large-Scale News Recommendation Systems","display_name":"Leveraging LightGBM Ranker for Efficient Large-Scale News Recommendation Systems","publication_year":2024,"publication_date":"2024-10-11","ids":{"openalex":"https://openalex.org/W4403319955","doi":"https://doi.org/10.1145/3687151.3687156"},"language":"en","primary_location":{"id":"doi:10.1145/3687151.3687156","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3687151.3687156","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/10.1145/3687151.3687156","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109030701","display_name":"Tetsuro Sugiura","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114917","display_name":"Hiroshima Cosmopolitan University","ror":"https://ror.org/0284mr070","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210114917"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tetsuro Sugiura","raw_affiliation_strings":["Starbucks Coffee Japan, Limited, Japan"],"affiliations":[{"raw_affiliation_string":"Starbucks Coffee Japan, Limited, Japan","institution_ids":["https://openalex.org/I4210114917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019191233","display_name":"Yosuke Yamagishi","orcid":"https://orcid.org/0009-0006-7688-3075"},"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":"Yosuke Yamagishi","raw_affiliation_strings":["The University of Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111361786","display_name":"Yodai Kishimoto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yodai Kishimoto","raw_affiliation_strings":["InsightX, Inc., Japan"],"affiliations":[{"raw_affiliation_string":"InsightX, Inc., Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109030701"],"corresponding_institution_ids":["https://openalex.org/I4210114917"],"apc_list":null,"apc_paid":null,"fwci":1.0911,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81767297,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"27","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9965999722480774,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9965999722480774,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9962000250816345,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9961000084877014,"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":0.7147767543792725},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5445563793182373},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.529260516166687},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44424453377723694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35458844900131226},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3321041464805603}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7147767543792725},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5445563793182373},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.529260516166687},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44424453377723694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35458844900131226},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3321041464805603},{"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:10.1145/3687151.3687156","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3687151.3687156","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:10.1145/3687151.3687156","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3687151.3687156","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":4,"referenced_works":["https://openalex.org/W2949676527","https://openalex.org/W2970641574","https://openalex.org/W3035390927","https://openalex.org/W3100806282"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4317039510","https://openalex.org/W4238861846","https://openalex.org/W790944756"],"abstract_inverted_index":{"This":[0,135],"study":[1],"addresses":[2],"the":[3,12,113,119],"news":[4,81],"recommendation":[5],"task":[6,18],"presented":[7],"by":[8,36,124],"Ekstra":[9],"Bladet":[10],"in":[11],"ACM":[13],"RecSys":[14],"Challenge":[15],"2024.":[16],"The":[17,158],"aims":[19],"to":[20,27,111],"predict":[21],"which":[22],"articles":[23],"users":[24],"are":[25],"likely":[26],"click":[28],"on":[29],"from":[30,76],"a":[31,53,126,145],"list":[32],"of":[33,142],"candidate":[34],"articles,":[35],"leveraging":[37],"users\u2019":[38,77],"browsing":[39,78],"history,":[40],"personal":[41],"information,":[42,66],"article":[43,82],"details,":[44],"and":[45,64,80,84,101,105,132],"session":[46,65],"information.":[47],"Our":[48],"approach":[49],"is":[50,160],"centered":[51],"around":[52,154],"LightGBM":[54],"Ranker":[55],"model.":[56],"Various":[57],"features":[58],"were":[59,74,88,99,108],"used,":[60],"including":[61],"user,":[62],"article,":[63],"as":[67,69,90],"well":[68],"their":[70,85],"interactions.":[71],"Additionally,":[72],"embeddings":[73],"created":[75,123],"history":[79],"texts,":[83],"cosine":[86],"similarities":[87],"used":[89],"additional":[91],"features.":[92],"Appropriate":[93],"validating":[94],"methods":[95,107],"using":[96,129],"time":[97],"series":[98],"explored,":[100],"effective":[102],"data":[103,114],"sampling":[104],"ensemble":[106,128],"also":[109],"proposed":[110],"fit":[112],"within":[115],"limited":[116],"memory.":[117],"Finally,":[118],"final":[120],"model":[121],"was":[122,151],"performing":[125],"weighted":[127],"multiple":[130],"periods":[131],"random":[133],"seeds.":[134],"method":[136],"achieved":[137,152],"high":[138],"performance":[139],"with":[140],"AUC":[141],"0.8169.":[143],"As":[144],"result,":[146],"an":[147],"8th":[148],"place":[149],"finish":[150],"among":[153],"200":[155],"participating":[156],"teams.":[157],"code":[159],"available":[161],"at":[162],"https://github.com/tetsuro731/RecSys-Challenge-2024-tetsuro731.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}