{"id":"https://openalex.org/W4416018043","doi":"https://doi.org/10.1145/3746252.3761508","title":"Meta-Adaptive Network for Effective Cold-Start Recommendation via Warm-Aware Representation Learning","display_name":"Meta-Adaptive Network for Effective Cold-Start Recommendation via Warm-Aware Representation Learning","publication_year":2025,"publication_date":"2025-11-08","ids":{"openalex":"https://openalex.org/W4416018043","doi":"https://doi.org/10.1145/3746252.3761508"},"language":null,"primary_location":{"id":"doi:10.1145/3746252.3761508","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3761508","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/A5111280340","display_name":"Ao Zhang","orcid":"https://orcid.org/0009-0003-5337-5981"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ao Zhang","raw_affiliation_strings":["Alibaba Group, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119175149","display_name":"Boya Du","orcid":"https://orcid.org/0009-0008-3527-1587"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boya Du","raw_affiliation_strings":["Alibaba Group, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021490664","display_name":"Yulin Xu","orcid":"https://orcid.org/0000-0001-6850-211X"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulin Xu","raw_affiliation_strings":["Alibaba Group, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110062513","display_name":"Jia\u2010Lin Zhu","orcid":"https://orcid.org/0009-0005-4683-3168"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialin Zhu","raw_affiliation_strings":["Alibaba Group, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102883869","display_name":"Yuning Jiang","orcid":"https://orcid.org/0000-0003-1665-3025"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuning Jiang","raw_affiliation_strings":["Alibaba Group, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5111280340"],"corresponding_institution_ids":["https://openalex.org/I45928872"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.4701379,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6234","last_page":"6241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9101999998092651,"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":0.9101999998092651,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.006300000008195639,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.006099999882280827,"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/representation","display_name":"Representation (politics)","score":0.6621999740600586},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6080999970436096},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5831000208854675},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.5637000203132629},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5620999932289124},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5149999856948853}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7789999842643738},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6621999740600586},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6080999970436096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5981000065803528},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5831000208854675},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.5637000203132629},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5620999932289124},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5360999703407288},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5149999856948853},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44279998540878296},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.337799996137619},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.32670000195503235},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.31459999084472656},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2946000099182129},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2574000060558319}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746252.3761508","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3761508","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2475334473","https://openalex.org/W2512971201","https://openalex.org/W2604662567","https://openalex.org/W2723293840","https://openalex.org/W2798460079","https://openalex.org/W2808847742","https://openalex.org/W2809290718","https://openalex.org/W2955624969","https://openalex.org/W2964983698","https://openalex.org/W3034744380","https://openalex.org/W3065542300","https://openalex.org/W3084247896","https://openalex.org/W3092846532","https://openalex.org/W3153108722","https://openalex.org/W3156002164","https://openalex.org/W4281750715","https://openalex.org/W4319452363","https://openalex.org/W4384659101"],"related_works":[],"abstract_inverted_index":{"Click-Through":[0],"Rate":[1],"(CTR)":[2],"prediction":[3],"models":[4,15,31],"enable":[5],"users":[6],"to":[7,41,72,119],"discover":[8],"matched":[9],"items":[10,39,109,144,149],"in":[11,34,88,110,115],"recommender":[12],"systems.":[13],"Industrial-scale":[14],"typically":[16],"adopt":[17],"a":[18,51,64,127,134],"unified":[19],"embedding":[20],"approach":[21],"for":[22,37,54,76,102],"both":[23],"hot":[24,148],"and":[25,100,161,177],"cold":[26,38,77,103,143],"items.":[27,78,104],"However,":[28],"existing":[29],"embedding-based":[30],"exhibit":[32],"limitations":[33],"representation":[35,129],"learning":[36,130],"due":[40,118],"sparse":[42],"historical":[43],"user":[44],"interactions.":[45],"In":[46,105],"this":[47],"paper,":[48],"we":[49,62,124],"propose":[50,126],"Meta-Adaptive":[52],"Network":[53],"Effective":[55],"Cold-Start":[56],"Recommendation":[57],"(MANE).":[58],"Inspired":[59],"by":[60],"meta-learning,":[61],"develop":[63],"lightweight":[65],"plug-and-play":[66],"meta-learner":[67],"that":[68,132],"generates":[69],"enhanced":[70],"representations":[71,75,90,141],"model":[73],"full-lifecycle":[74],"Our":[79],"meta-network":[80],"dynamically":[81],"adjusts":[82],"the":[83,140,157,166],"contribution":[84],"of":[85,142,147,168],"generalized":[86],"features":[87],"final":[89],"as":[91],"item":[92,173],"exposure":[93,117],"increases,":[94],"enabling":[95],"adaptive":[96],"balancing":[97],"between":[98],"generalization":[99],"specificity":[101],"addition,":[106],"certain":[107],"high-potential":[108],"cold-start":[111],"scenarios":[112],"face":[113],"challenges":[114],"effective":[116],"limited":[120],"interaction":[121],"signals.":[122],"Therefore,":[123],"further":[125],"novel":[128],"method":[131],"incorporates":[133],"warm-aware":[135],"contrastive":[136],"loss,":[137],"which":[138],"aligns":[139],"with":[145],"those":[146],"exhibiting":[150],"high":[151],"multimodal":[152],"similarity.":[153],"Experimental":[154],"results":[155],"on":[156],"Taobao":[158],"production":[159],"dataset":[160],"online":[162],"A/B":[163],"testing":[164],"validate":[165],"effectiveness":[167],"our":[169],"method,":[170],"achieving":[171],"4.34%":[172],"page":[174],"views":[175],"(IPV)":[176],"2.84%":[178],"CTR":[179],"improvement.":[180]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-11-08T00:00:00"}