{"id":"https://openalex.org/W4412877130","doi":"https://doi.org/10.1145/3711896.3736866","title":"Breaking the Top- <i>K</i> Barrier: Advancing Top- <i>K</i> Ranking Metrics Optimization in Recommender Systems","display_name":"Breaking the Top- <i>K</i> Barrier: Advancing Top- <i>K</i> Ranking Metrics Optimization in Recommender Systems","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4412877130","doi":"https://doi.org/10.1145/3711896.3736866"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3736866","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736866","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736866","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736866","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012908256","display_name":"Weiqin Yang","orcid":"https://orcid.org/0000-0002-5750-5515"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiqin Yang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5750-5515","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362815","display_name":"Jiawei Chen","orcid":"https://orcid.org/0000-0002-4752-2629"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Chen","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4752-2629","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006241046","display_name":"Shengjia Zhang","orcid":"https://orcid.org/0009-0004-0209-2276"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengjia Zhang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0004-0209-2276","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101621113","display_name":"Peng Wu","orcid":"https://orcid.org/0000-0001-7154-8880"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Wu","raw_affiliation_strings":["Beijing Technology and Business University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7154-8880","affiliations":[{"raw_affiliation_string":"Beijing Technology and Business University, Beijing, China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuegang Sun","orcid":"https://orcid.org/0009-0009-2701-4641"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuegang Sun","raw_affiliation_strings":["Intelligence Indeed, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0009-2701-4641","affiliations":[{"raw_affiliation_string":"Intelligence Indeed, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018602206","display_name":"Yan Feng","orcid":"https://orcid.org/0000-0002-3605-5404"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Feng","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3605-5404","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373367","display_name":"Chun Chen","orcid":"https://orcid.org/0000-0002-6198-7481"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Chen","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6198-7481","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033018369","display_name":"Can Wang","orcid":"https://orcid.org/0000-0002-5890-4307"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Can Wang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5890-4307","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5012908256"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27119314,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3542","last_page":"3552"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/recommender-system","display_name":"Recommender system","score":0.9102134704589844},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.746194064617157},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6444900035858154},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4406467378139496}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.9102134704589844},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.746194064617157},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6444900035858154},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4406467378139496}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3711896.3736866","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736866","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736866","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2508.05673","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.05673","pdf_url":"https://arxiv.org/pdf/2508.05673","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3711896.3736866","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736866","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736866","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412877130.pdf","grobid_xml":"https://content.openalex.org/works/W4412877130.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W43928053","https://openalex.org/W1494085563","https://openalex.org/W1967787801","https://openalex.org/W1985554184","https://openalex.org/W1994616650","https://openalex.org/W2009718036","https://openalex.org/W2027731328","https://openalex.org/W2054141820","https://openalex.org/W2091158010","https://openalex.org/W2100235918","https://openalex.org/W2108862644","https://openalex.org/W2110953678","https://openalex.org/W2138204974","https://openalex.org/W2143331230","https://openalex.org/W2258625391","https://openalex.org/W2319178748","https://openalex.org/W2566147423","https://openalex.org/W2583875861","https://openalex.org/W2605350416","https://openalex.org/W2766966154","https://openalex.org/W2898073868","https://openalex.org/W2913754224","https://openalex.org/W2915000900","https://openalex.org/W2959353218","https://openalex.org/W2963323306","https://openalex.org/W2963367478","https://openalex.org/W2972657244","https://openalex.org/W2981591098","https://openalex.org/W2990138404","https://openalex.org/W2990500698","https://openalex.org/W3045200674","https://openalex.org/W3080781457","https://openalex.org/W3152876231","https://openalex.org/W3153896882","https://openalex.org/W3153906321","https://openalex.org/W3164238513","https://openalex.org/W3173151551","https://openalex.org/W4205390421","https://openalex.org/W4221030716","https://openalex.org/W4284685307","https://openalex.org/W4297971002","https://openalex.org/W4319653823","https://openalex.org/W4381552920","https://openalex.org/W4383993482","https://openalex.org/W4385275467","https://openalex.org/W4389675217","https://openalex.org/W4392490031","https://openalex.org/W4396735686","https://openalex.org/W4400910114","https://openalex.org/W4407953214","https://openalex.org/W4414435001","https://openalex.org/W6639094827","https://openalex.org/W6697648974"],"related_works":["https://openalex.org/W2118564381","https://openalex.org/W2163901716","https://openalex.org/W2152204162","https://openalex.org/W2739821120","https://openalex.org/W2088097596","https://openalex.org/W2150136235","https://openalex.org/W2140661912","https://openalex.org/W2037724912","https://openalex.org/W2056806613","https://openalex.org/W2153069032"],"abstract_inverted_index":{"In":[0],"the":[1,14,23,40,52,83],"realm":[2],"of":[3,25,114,144],"recommender":[4],"systems":[5],"(RS),":[6],"Top-K":[7,42,53,88],"ranking":[8],"metrics":[9],"such":[10],"as":[11],"NDCG@K":[12,29,48,78,98],"are":[13],"gold":[15],"standard":[16],"for":[17,77,96],"evaluating":[18],"recommendation":[19,26,74,131],"performance.":[20],"However,":[21],"during":[22],"training":[24,62],"models,":[27],"optimizing":[28,97],"poses":[30],"significant":[31],"challenges":[32],"due":[33],"to":[34,46,86,99],"its":[35],"inherent":[36],"discontinuous":[37],"nature":[38],"and":[39,61,90,120,129],"intricate":[41],"truncation.":[43],"Recent":[44],"efforts":[45],"optimize":[47],"have":[49],"either":[50],"overlooked":[51],"truncation":[54,89],"or":[55],"suffered":[56],"from":[57],"high":[58],"computational":[59,116],"costs":[60],"instability.":[63],"To":[64],"overcome":[65],"these":[66],"limitations,":[67],"we":[68,81],"propose":[69],"SoftmaxLoss@K":[70],"(SL@K),":[71],"a":[72,92,140],"novel":[73],"loss":[75,105],"tailored":[76],"optimization.":[79],"Specifically,":[80],"integrate":[82],"quantile":[84],"technique":[85],"handle":[87],"derive":[91],"smooth":[93],"upper":[94],"bound":[95],"address":[100],"discontinuity.":[101],"The":[102,146],"resulting":[103],"SL@K":[104,135],"has":[106],"several":[107],"desirable":[108],"properties,":[109],"including":[110],"theoretical":[111],"guarantees,":[112],"ease":[113],"implementation,":[115],"efficiency,":[117],"gradient":[118],"stability,":[119],"noise":[121],"robustness.":[122],"Extensive":[123],"experiments":[124],"on":[125],"four":[126],"real-world":[127],"datasets":[128],"three":[130],"backbones":[132],"demonstrate":[133],"that":[134],"outperforms":[136],"existing":[137],"losses":[138],"with":[139],"notable":[141],"average":[142],"improvement":[143],"6.03%.":[145],"code":[147],"is":[148],"available":[149],"at":[150],"https://github.com/Tiny-Snow/IR-Benchmark.":[151]},"counts_by_year":[],"updated_date":"2026-05-05T06:06:40.768181","created_date":"2025-08-03T00:00:00"}