{"id":"https://openalex.org/W4416017474","doi":"https://doi.org/10.1145/3746252.3761137","title":"Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark","display_name":"Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark","publication_year":2025,"publication_date":"2025-11-08","ids":{"openalex":"https://openalex.org/W4416017474","doi":"https://doi.org/10.1145/3746252.3761137"},"language":null,"primary_location":{"id":"doi:10.1145/3746252.3761137","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3761137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100355099","display_name":"Xiaopeng Li","orcid":"https://orcid.org/0009-0008-6162-8500"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Xiaopeng Li","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0009-0008-6162-8500","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040803163","display_name":"Jingtong Gao","orcid":"https://orcid.org/0000-0002-4470-5972"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jingtong Gao","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-4470-5972","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094239331","display_name":"Pengyue Jia","orcid":"https://orcid.org/0000-0003-4712-3676"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Pengyue Jia","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-4712-3676","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100645854","display_name":"Xiangyu Zhao","orcid":"https://orcid.org/0000-0003-2926-4416"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiangyu Zhao","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-2926-4416","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042180831","display_name":"Yichao Wang","orcid":"https://orcid.org/0000-0001-7053-8269"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yichao Wang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China","Huawei Noah's Ark Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-7053-8269","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059573675","display_name":"Wanyu Wang","orcid":"https://orcid.org/0000-0001-5976-0707"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wanyu Wang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-5976-0707","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062469929","display_name":"Yejing Wang","orcid":"https://orcid.org/0000-0003-2852-9910"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yejing Wang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China","Huawei Noah's Ark Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2852-9910","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043861652","display_name":"Yuhao Wang","orcid":"https://orcid.org/0000-0002-6051-8659"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yuhao Wang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China","Huawei Noah's Ark Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-6051-8659","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019541869","display_name":"Huifeng Guo","orcid":"https://orcid.org/0000-0002-7393-8994"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huifeng Guo","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-7393-8994","affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054330014","display_name":"Ruiming Tang","orcid":"https://orcid.org/0000-0002-9224-2431"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiming Tang","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9224-2431","affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5100355099"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":2.5654,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.92780277,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1685","last_page":"1695"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.829200029373169,"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":0.829200029373169,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.016899999231100082,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.014299999922513962,"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/benchmark","display_name":"Benchmark (surveying)","score":0.8026000261306763},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5534999966621399},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5249000191688538},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4180000126361847},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.3467000126838684},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3255000114440918}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8026000261306763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7451000213623047},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5534999966621399},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5249000191688538},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4180000126361847},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41359999775886536},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36980000138282776},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3612000048160553},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.3467000126838684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3458000123500824},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3255000114440918},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.31769999861717224},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.30309998989105225},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C2983685735","wikidata":"https://www.wikidata.org/wiki/Q5227355","display_name":"Data source","level":2,"score":0.2653000056743622}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746252.3761137","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3761137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2648977524","display_name":null,"funder_award_id":"No.62502404","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W2809290718","https://openalex.org/W2889526258","https://openalex.org/W2962745591","https://openalex.org/W2962989965","https://openalex.org/W3008288562","https://openalex.org/W3034503922","https://openalex.org/W3087931390","https://openalex.org/W3131444225","https://openalex.org/W3133849783","https://openalex.org/W3175142666","https://openalex.org/W3188301284","https://openalex.org/W3206992626","https://openalex.org/W3208543775","https://openalex.org/W3209943551","https://openalex.org/W4213365329","https://openalex.org/W4283698545","https://openalex.org/W4288083766","https://openalex.org/W4290876156","https://openalex.org/W4292419518","https://openalex.org/W4306316988","https://openalex.org/W4319653664","https://openalex.org/W4368232818","https://openalex.org/W4379382506","https://openalex.org/W4382765742","https://openalex.org/W4384641542","https://openalex.org/W4384643614","https://openalex.org/W4384774596","https://openalex.org/W4384828482","https://openalex.org/W4385270144","https://openalex.org/W4385568236","https://openalex.org/W4386721920","https://openalex.org/W4387846780","https://openalex.org/W4387854277","https://openalex.org/W4392368241","https://openalex.org/W4392384596","https://openalex.org/W4393153290","https://openalex.org/W4393156167","https://openalex.org/W4400525231","https://openalex.org/W4403220169","https://openalex.org/W4403395420","https://openalex.org/W4403577345","https://openalex.org/W4403577923","https://openalex.org/W4403582517","https://openalex.org/W4406024872","https://openalex.org/W4406983350","https://openalex.org/W4412376887","https://openalex.org/W4412376937","https://openalex.org/W4412377196","https://openalex.org/W4412876844","https://openalex.org/W4412876956"],"related_works":[],"abstract_inverted_index":{"Multi-Scenario":[0],"Recommendation":[1],"(MSR)":[2],"tasks,":[3],"referring":[4],"to":[5,10,111],"building":[6],"a":[7,79,118],"unified":[8],"model":[9],"enhance":[11],"performance":[12],"across":[13],"all":[14],"recommendation":[15],"scenarios,":[16],"have":[17],"recently":[18],"gained":[19],"considerable":[20],"attention.":[21],"However,":[22],"current":[23,58],"research":[24,120],"in":[25,122],"MSR":[26],"faces":[27],"two":[28],"significant":[29],"challenges":[30],"that":[31],"hinder":[32],"the":[33,36,99],"field's":[34],"development:":[35],"absence":[37],"of":[38],"uniform":[39],"procedures":[40],"for":[41],"multi-scenario":[42],"dataset":[43],"processing,":[44],"thus":[45],"hindering":[46],"fair":[47],"comparisons,":[48],"and":[49,73,81,115],"most":[50],"models":[51,114],"being":[52],"closed-source,":[53],"which":[54,68],"complicates":[55],"comparisons":[56],"with":[57,78],"SOTA":[59],"models.":[60],"Consequently,":[61],"we":[62],"introduce":[63],"our":[64],"benchmark,":[65],"Scenario-Wise":[66,87],"Rec,":[67],"comprises":[69],"six":[70],"public":[71],"datasets":[72],"twelve":[74],"baseline":[75],"models,":[76],"along":[77],"training":[80],"evaluation":[82],"pipeline.":[83],"We":[84,97],"further":[85],"validate":[86],"Rec":[88],"on":[89],"an":[90],"industrial":[91],"advertising":[92],"dataset,":[93],"underscoring":[94],"its":[95],"robustness.":[96],"hope":[98],"benchmark":[100],"will":[101],"give":[102],"researchers":[103],"clear":[104],"insights":[105],"into":[106],"prior":[107],"work,":[108],"enabling":[109],"them":[110],"develop":[112],"novel":[113],"thereby":[116],"fostering":[117],"collaborative":[119],"ecosystem":[121],"MSR.":[123],"Our":[124],"source":[125],"code":[126],"is":[127],"publicly":[128],"available":[129],"(https://github.com/Applied-Machine-Learning-Lab/Scenario-Wise-Rec).":[130]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-22T09:01:20.584952","created_date":"2025-11-08T00:00:00"}