{"id":"https://openalex.org/W4384887289","doi":"https://doi.org/10.1145/3539618.3592068","title":"TAML: Time-Aware Meta Learning for Cold-Start Problem in News Recommendation","display_name":"TAML: Time-Aware Meta Learning for Cold-Start Problem in News Recommendation","publication_year":2023,"publication_date":"2023-07-18","ids":{"openalex":"https://openalex.org/W4384887289","doi":"https://doi.org/10.1145/3539618.3592068"},"language":"en","primary_location":{"id":"doi:10.1145/3539618.3592068","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3592068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5041903760","display_name":"Jingyuan Li","orcid":"https://orcid.org/0009-0003-2611-4006"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jingyuan 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/A5025380504","display_name":"Yue Zhang","orcid":"https://orcid.org/0009-0004-8301-5052"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yue 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/A5037410278","display_name":"Xuan Lin","orcid":"https://orcid.org/0009-0005-7631-7586"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuan Lin","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/A5101852690","display_name":"Xinxing Yang","orcid":"https://orcid.org/0009-0005-9519-4526"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinxing 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/A5101464908","display_name":"Ge Zhou","orcid":"https://orcid.org/0009-0000-9985-1822"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ge Zhou","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/A5100430936","display_name":"Longfei Li","orcid":"https://orcid.org/0000-0002-9263-7011"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Longfei 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/A5101516856","display_name":"Hong Chen","orcid":"https://orcid.org/0009-0009-3689-2622"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hong Chen","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":8,"corresponding_author_ids":["https://openalex.org/A5041903760"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8356,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88170522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2415","last_page":"2419"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9962000250816345,"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/T10028","display_name":"Topic Modeling","score":0.9528999924659729,"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/computer-science","display_name":"Computer science","score":0.8115819692611694},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5705678462982178},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.5643477439880371},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5434430837631226},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.45435938239097595},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.34953078627586365},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3468162715435028},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3272457420825958},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.06019732356071472}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8115819692611694},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5705678462982178},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.5643477439880371},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5434430837631226},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.45435938239097595},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.34953078627586365},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3468162715435028},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3272457420825958},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.06019732356071472},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3539618.3592068","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3592068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1583837637","https://openalex.org/W2723293840","https://openalex.org/W2905461678","https://openalex.org/W2950416834","https://openalex.org/W2963869731","https://openalex.org/W2964182926","https://openalex.org/W2964983698","https://openalex.org/W2978745145","https://openalex.org/W3208349097","https://openalex.org/W4224310786","https://openalex.org/W4283802761","https://openalex.org/W4284692359","https://openalex.org/W4284889466"],"related_works":["https://openalex.org/W2497939785","https://openalex.org/W2219931199","https://openalex.org/W4241927574","https://openalex.org/W2735929803","https://openalex.org/W2971083348","https://openalex.org/W584290403","https://openalex.org/W3214288750","https://openalex.org/W2786642545","https://openalex.org/W3095646726","https://openalex.org/W2084560547"],"abstract_inverted_index":{"Meta-learning":[0],"has":[1],"become":[2],"a":[3,69],"widely":[4],"used":[5],"method":[6],"for":[7,50],"the":[8,18,28,41,103,122],"user":[9,83],"cold-start":[10,75,111],"problem":[11],"in":[12,77],"recommendation":[13,52,79],"systems,":[14],"as":[15],"it":[16],"allows":[17],"model":[19],"to":[20,30,106],"learn":[21],"from":[22],"similar":[23],"learning":[24],"tasks":[25],"and":[26,87,109],"transfer":[27],"knowledge":[29],"new":[31],"tasks.":[32],"However,":[33],"most":[34],"existing":[35],"meta-learning":[36,104],"methods":[37],"do":[38],"not":[39],"consider":[40],"temporal":[42,97],"factor":[43],"of":[44,125],"users'":[45,93],"preferences,":[46],"which":[47],"is":[48],"crucial":[49],"news":[51,55,78,94],"scenarios":[53],"where":[54],"streams":[56],"change":[57],"dynamically":[58],"over":[59,127],"time.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64],"propose":[65],"Time-Aware":[66],"Meta-Learning":[67],"(TAML),":[68],"novel":[70],"framework":[71,105],"that":[72,90],"focuses":[73],"on":[74,117],"users":[76],"systems.":[80],"TAML":[81,126],"factorizes":[82],"preferences":[84],"into":[85,102],"time-specifc":[86],"time-shift":[88],"representations":[89],"jointly":[91],"affect":[92],"preferences.":[95],"These":[96],"factors":[98],"are":[99,115],"further":[100],"incorporated":[101],"achieve":[107],"accurate":[108],"timely":[110],"recommendations.":[112],"Extensive":[113],"experiments":[114],"conducted":[116],"two":[118],"real-world":[119],"datasets,":[120],"demonstrating":[121],"superior":[123],"performance":[124],"state-of-the-art":[128],"methods.":[129]},"counts_by_year":[{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
