{"id":"https://openalex.org/W4385568359","doi":"https://doi.org/10.1145/3580305.3599955","title":"SAMD: An Industrial Framework for Heterogeneous Multi-Scenario Recommendation","display_name":"SAMD: An Industrial Framework for Heterogeneous Multi-Scenario Recommendation","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385568359","doi":"https://doi.org/10.1145/3580305.3599955"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599955","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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/A5001638913","display_name":"Zhaoxin Huan","orcid":"https://orcid.org/0000-0002-3611-0901"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhaoxin Huan","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060281068","display_name":"Ang Li","orcid":"https://orcid.org/0009-0004-8930-1658"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ang Li","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100746436","display_name":"Xiaolu Zhang","orcid":"https://orcid.org/0009-0007-7508-0956"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaolu Zhang","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101891282","display_name":"Min Xu","orcid":"https://orcid.org/0000-0002-5952-0794"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu Min","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000018492","display_name":"Jieyu Yang","orcid":"https://orcid.org/0000-0002-7973-3981"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jieyu Yang","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082449442","display_name":"Yong He","orcid":"https://orcid.org/0009-0000-5390-2655"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yong He","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045140292","display_name":"Jun Zhou","orcid":"https://orcid.org/0000-0001-6033-6102"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Zhou","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5001638913"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.5816,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.95144858,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4175","last_page":"4184"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9818000197410583,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9757999777793884,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8543077707290649},{"id":"https://openalex.org/keywords/heterogeneous-network","display_name":"Heterogeneous network","score":0.5281293988227844},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5016052722930908},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4826126992702484},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.4679889380931854},{"id":"https://openalex.org/keywords/knowledge-sharing","display_name":"Knowledge sharing","score":0.4335479140281677},{"id":"https://openalex.org/keywords/scenario-analysis","display_name":"Scenario analysis","score":0.4276009500026703},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4143528342247009},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24121823906898499},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.21360599994659424}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8543077707290649},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.5281293988227844},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5016052722930908},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4826126992702484},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.4679889380931854},{"id":"https://openalex.org/C2776604539","wikidata":"https://www.wikidata.org/wiki/Q6423395","display_name":"Knowledge sharing","level":2,"score":0.4335479140281677},{"id":"https://openalex.org/C18785705","wikidata":"https://www.wikidata.org/wiki/Q1931373","display_name":"Scenario analysis","level":2,"score":0.4276009500026703},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4143528342247009},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24121823906898499},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.21360599994659424},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580305.3599955","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2187089797","https://openalex.org/W2723293840","https://openalex.org/W2739879705","https://openalex.org/W2809290718","https://openalex.org/W2964182926","https://openalex.org/W2964983698","https://openalex.org/W2982157312","https://openalex.org/W3004127093","https://openalex.org/W3087931390","https://openalex.org/W3108491103","https://openalex.org/W3112334685","https://openalex.org/W3153108722","https://openalex.org/W3155127799","https://openalex.org/W3209943551","https://openalex.org/W3211301221","https://openalex.org/W4213365329","https://openalex.org/W4281624287","https://openalex.org/W4285133995","https://openalex.org/W4306317417","https://openalex.org/W4306317647","https://openalex.org/W4367309909"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W3092950680","https://openalex.org/W4246980185","https://openalex.org/W2150182025","https://openalex.org/W3197542405","https://openalex.org/W2418190244","https://openalex.org/W4238861846","https://openalex.org/W3125580266","https://openalex.org/W44246808"],"abstract_inverted_index":{"Industrial":[0],"recommender":[1],"systems":[2],"usually":[3],"need":[4],"to":[5,37,60,87,110,147,179],"serve":[6],"multiple":[7],"scenarios":[8,25,50,119,184,204],"at":[9],"the":[10,30,65,76,105,133,157,163,172,190,193,213,230,234],"same":[11],"time.":[12],"In":[13,70,196],"practice,":[14],"there":[15],"are":[16],"various":[17],"heterogeneous":[18,68,118,126,173,183,203,240],"scenarios,":[19],"since":[20],"users":[21],"frequently":[22],"engage":[23],"in":[24,78,205,239],"with":[26,218],"varying":[27],"intentions":[28],"and":[29,113,124,139,161,208,225],"items":[31],"within":[32],"each":[33,61,137,169],"scenario":[34,62,138],"typically":[35],"belong":[36],"diverse":[38],"categories.":[39],"Existing":[40],"works":[41],"of":[42,67,136,165,192,215,233],"multi-scenario":[43,79,106],"recommendation":[44],"mainly":[45],"focus":[46],"on":[47],"modeling":[48,121],"homogeneous":[49],"which":[51,211],"have":[52],"similar":[53],"data":[54],"distributions.":[55],"They":[56],"equally":[57],"transfer":[58],"knowledge":[59,115,127,150,166,174,181,201],"without":[63,189],"considering":[64],"diversity":[66],"scenarios.":[69,241],"this":[71,91,197],"paper,":[72],"we":[73,93],"argue":[74],"that":[75,85],"heterogeneity":[77],"recommendations":[80],"is":[81],"a":[82,142,206],"key":[83],"problem":[84,214],"needs":[86],"be":[88],"solved.":[89],"To":[90],"end,":[92],"propose":[94],"an":[95],"industrial":[96],"framework":[97],"named":[98],"Scenario-Aware":[99],"Model-Agnostic":[100],"Meta":[101],"Distillation":[102],"(SAMD)":[103],"for":[104,168],"recommendation.":[107],"SAMD":[108,130,199,236],"aims":[109],"provide":[111],"scenario-aware":[112,149,177,207],"model-agnostic":[114,209],"sharing":[116,167],"across":[117,182,202],"by":[120],"scenarios'":[122,159],"relationship":[123],"conducting":[125],"distillation.":[128],"Specifically,":[129],"first":[131,155],"measures":[132],"comprehensive":[134],"representation":[135],"then":[140],"proposes":[141],"novel":[143],"meta":[144,153],"distillation":[145,175,188],"paradigm":[146],"conduct":[148],"sharing.":[151],"The":[152],"network":[154],"establishes":[156],"potential":[158],"relationships":[160],"generates":[162],"strategies":[164,178],"scenario.":[170],"Then":[171],"utilizes":[176],"share":[180],"through":[185],"intermediate":[186],"features":[187],"restriction":[191],"model":[194],"architecture.":[195],"way,":[198],"shares":[200],"manner,":[210],"addresses":[212],"heterogeneity.":[216],"Compared":[217],"other":[219],"state-of-the-art":[220],"methods,":[221],"extensive":[222],"offline":[223],"experiments,":[224],"online":[226],"A/B":[227],"testing":[228],"demonstrate":[229],"superior":[231],"performance":[232],"proposed":[235],"framework,":[237],"especially":[238]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
