{"id":"https://openalex.org/W4306317647","doi":"https://doi.org/10.1145/3511808.3557709","title":"Task Similarity Aware Meta Learning for Cold-Start Recommendation","display_name":"Task Similarity Aware Meta Learning for Cold-Start Recommendation","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4306317647","doi":"https://doi.org/10.1145/3511808.3557709"},"language":"en","primary_location":{"id":"doi:10.1145/3511808.3557709","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557709","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102187247","display_name":"Jieyu Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jieyu Yang","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001638913","display_name":"Zhaoxin Huan","orcid":"https://orcid.org/0000-0002-3611-0901"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhaoxin Huan","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":null,"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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086348845","display_name":"Ke Ding","orcid":"https://orcid.org/0000-0003-0653-8816"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ke Ding","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425242","display_name":"Liang Zhang","orcid":"https://orcid.org/0000-0002-7744-7789"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang Zhang","raw_affiliation_strings":["Ant Group, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100746437","display_name":"Xiaolu Zhang","orcid":"https://orcid.org/0000-0002-4044-8550"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaolu Zhang","raw_affiliation_strings":["Ant Group, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, Hangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044628261","display_name":"Linjian Mo","orcid":"https://orcid.org/0000-0002-6682-1448"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Linjian Mo","raw_affiliation_strings":["Ant Group, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group, Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5074,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8474956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4630","last_page":"4634"},"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/T10028","display_name":"Topic Modeling","score":0.9854000210762024,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.973800003528595,"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":0.8664426803588867},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.8203017711639404},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6438000202178955},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.641973614692688},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6003274917602539},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5608864426612854},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5573195219039917},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5222440361976624},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.5221521854400635},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4968889057636261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48061034083366394},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.47093454003334045},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.4707929193973541},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4437025785446167},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3684622645378113},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3223074674606323}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8664426803588867},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.8203017711639404},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6438000202178955},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.641973614692688},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6003274917602539},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5608864426612854},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5573195219039917},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5222440361976624},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.5221521854400635},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4968889057636261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48061034083366394},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.47093454003334045},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.4707929193973541},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4437025785446167},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3684622645378113},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3223074674606323},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3511808.3557709","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3511808.3557709","pdf_url":null,"source":{"id":"https://openalex.org/S4363608762","display_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","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":16,"referenced_works":["https://openalex.org/W331119053","https://openalex.org/W1677182931","https://openalex.org/W2082927600","https://openalex.org/W2158515176","https://openalex.org/W2723293840","https://openalex.org/W2792839191","https://openalex.org/W2912351665","https://openalex.org/W2955624969","https://openalex.org/W2962989965","https://openalex.org/W2964182926","https://openalex.org/W2964983698","https://openalex.org/W3098087397","https://openalex.org/W3153108722","https://openalex.org/W3164006073","https://openalex.org/W3171874185","https://openalex.org/W3208349097"],"related_works":["https://openalex.org/W2883883483","https://openalex.org/W2061572266","https://openalex.org/W1559600655","https://openalex.org/W3208326136","https://openalex.org/W2346578840","https://openalex.org/W2161485269","https://openalex.org/W3121208640","https://openalex.org/W2979219289","https://openalex.org/W2164349438","https://openalex.org/W4319309271"],"abstract_inverted_index":{"In":[0],"recommender":[1],"systems,":[2],"content-based":[3,54],"methods":[4,8,55,79],"and":[5,29,96,125,147,166],"meta-learning":[6],"involved":[7],"usually":[9],"have":[10],"been":[11],"adopted":[12],"to":[13,42,82,128,143,170],"alleviate":[14],"the":[15,26,30,50,59,65,92,98,117,133,149,160],"item":[16,23,62],"cold-start":[17],"problem.":[18],"The":[19],"former":[20],"consider":[21],"utilizing":[22],"attributes":[24],"at":[25,33,49,116],"feature":[27,118],"level":[28],"latter":[31],"aim":[32],"learning":[34],"a":[35,87,105],"globally":[36],"shared":[37],"initialization":[38,151],"for":[39,72,152],"all":[40],"tasks":[41,73,146],"achieve":[43,83],"fast":[44],"adaptation":[45],"with":[46,74],"limited":[47],"data":[48],"task":[51,130,134],"level.":[52],"However,":[53],"only":[56],"focus":[57],"on":[58],"similarity":[60],"of":[61,100],"attributes,":[63],"ignoring":[64],"relationships":[66,127],"established":[67],"by":[68],"user":[69],"interactions.":[70],"And":[71],"different":[75],"distributions,":[76],"most":[77],"meta-learning-based":[78],"are":[80],"difficult":[81],"better":[84],"performance":[85,165],"under":[86],"single":[88],"initialization.":[89],"To":[90],"address":[91],"limitations":[93],"mentioned":[94],"above":[95],"combine":[97],"strengths":[99],"both":[101],"methods,":[102],"we":[103,120,136],"propose":[104],"Task":[106],"Similarity":[107],"Aware":[108],"Meta-Learning":[109],"(TSAML)":[110],"framework":[111,162],"from":[112],"two":[113],"aspects.":[114],"Specifically,":[115],"level,":[119,135],"simultaneously":[121],"introduce":[122],"content":[123],"information":[124],"user-item":[126],"exploit":[129],"similarity.":[131],"At":[132],"design":[137],"an":[138],"automatic":[139],"soft":[140],"clustering":[141],"module":[142],"cluster":[144],"similar":[145,153],"generate":[148],"same":[150],"tasks.":[154],"Extensive":[155],"offline":[156],"experiments":[157],"demonstrate":[158],"that":[159],"TSAML":[161],"has":[163],"superior":[164],"recommends":[167],"cold":[168],"items":[169],"preferred":[171],"users":[172],"more":[173],"effectively":[174],"than":[175],"other":[176],"state-of-the-art":[177],"methods.":[178]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
