{"id":"https://openalex.org/W3168843540","doi":"https://doi.org/10.1145/3447548.3467224","title":"Learning to Recommend Visualizations from Data","display_name":"Learning to Recommend Visualizations from Data","publication_year":2021,"publication_date":"2021-08-12","ids":{"openalex":"https://openalex.org/W3168843540","doi":"https://doi.org/10.1145/3447548.3467224","mag":"3168843540"},"language":"en","primary_location":{"id":"doi:10.1145/3447548.3467224","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3467224","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &amp; Data Mining","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/A5101737150","display_name":"Xin Qian","orcid":"https://orcid.org/0000-0001-6436-2690"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Qian","raw_affiliation_strings":["University of Maryland, College Park, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009957887","display_name":"Ryan A. Rossi","orcid":"https://orcid.org/0000-0001-9758-0635"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan A. Rossi","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073516753","display_name":"Fan Du","orcid":"https://orcid.org/0000-0002-4383-8888"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fan Du","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100718934","display_name":"Sungchul Kim","orcid":"https://orcid.org/0000-0003-3580-5290"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sungchul Kim","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071007779","display_name":"Eunyee Koh","orcid":"https://orcid.org/0000-0003-2091-5972"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eunyee Koh","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018266351","display_name":"Sana Malik","orcid":"https://orcid.org/0000-0001-8885-186X"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sana Malik","raw_affiliation_strings":["Adobe Research, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069834920","display_name":"Tak Yeon Lee","orcid":"https://orcid.org/0000-0002-9235-9947"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Tak Yeon Lee","raw_affiliation_strings":["KAIST, Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003751225","display_name":"Joel Chan","orcid":"https://orcid.org/0000-0003-3000-4160"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joel Chan","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1359","last_page":"1369"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/visualization","display_name":"Visualization","score":0.8943033814430237},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8880152702331543},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5869476199150085},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5552204251289368},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5015227794647217},{"id":"https://openalex.org/keywords/information-visualization","display_name":"Information visualization","score":0.4440832734107971},{"id":"https://openalex.org/keywords/exploratory-data-analysis","display_name":"Exploratory data analysis","score":0.4339660108089447},{"id":"https://openalex.org/keywords/creative-visualization","display_name":"Creative visualization","score":0.4290394186973572},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.426751971244812},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4234023690223694}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.8943033814430237},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8880152702331543},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5869476199150085},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5552204251289368},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5015227794647217},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.4440832734107971},{"id":"https://openalex.org/C120894424","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory data analysis","level":2,"score":0.4339660108089447},{"id":"https://openalex.org/C14669888","wikidata":"https://www.wikidata.org/wiki/Q4014850","display_name":"Creative visualization","level":3,"score":0.4290394186973572},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.426751971244812},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4234023690223694}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3447548.3467224","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3467224","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W613679379","https://openalex.org/W1565838812","https://openalex.org/W1912832475","https://openalex.org/W1961845056","https://openalex.org/W1991207010","https://openalex.org/W2004058955","https://openalex.org/W2053690843","https://openalex.org/W2061455250","https://openalex.org/W2069870183","https://openalex.org/W2096080031","https://openalex.org/W2132881639","https://openalex.org/W2140319639","https://openalex.org/W2144024567","https://openalex.org/W2152922709","https://openalex.org/W2159094788","https://openalex.org/W2160382748","https://openalex.org/W2171960770","https://openalex.org/W2257756289","https://openalex.org/W2341535507","https://openalex.org/W2428096022","https://openalex.org/W2432205972","https://openalex.org/W2475334473","https://openalex.org/W2610226709","https://openalex.org/W2611990000","https://openalex.org/W2735080104","https://openalex.org/W2740098507","https://openalex.org/W2795915595","https://openalex.org/W2796347334","https://openalex.org/W2805655759","https://openalex.org/W2837370974","https://openalex.org/W2886887279","https://openalex.org/W2888611489","https://openalex.org/W2915786579","https://openalex.org/W2963707382","https://openalex.org/W2964101465","https://openalex.org/W2969874558","https://openalex.org/W3030168100","https://openalex.org/W3088775533","https://openalex.org/W3092325673","https://openalex.org/W3131703615","https://openalex.org/W3138348542","https://openalex.org/W3160856140","https://openalex.org/W3162942519","https://openalex.org/W4298206967"],"related_works":["https://openalex.org/W3010975807","https://openalex.org/W2027333138","https://openalex.org/W3185027765","https://openalex.org/W2096373083","https://openalex.org/W2151530263","https://openalex.org/W3009051979","https://openalex.org/W2104025928","https://openalex.org/W1574055964","https://openalex.org/W2105200106","https://openalex.org/W1938514595"],"abstract_inverted_index":{"Visualization":[0],"recommendation":[1,32,49,99],"is":[2],"important":[3],"for":[4,67,73],"exploratory":[5],"analysis":[6],"and":[7,41,76,108,116,129],"making":[8],"sense":[9],"of":[10,39,80,106],"the":[11,20,27,62,74,84],"data":[12],"quickly":[13],"by":[14,87],"automatically":[15,64],"recommending":[16],"relevant":[17,43],"visualizations":[18,44,66,82,107,131],"to":[19,45,83,95,133],"user.":[21],"In":[22],"this":[23],"work,":[24],"we":[25,119],"propose":[26],"first":[28],"end-to-end":[29,123],"ML-based":[30,124],"visualization":[31,48,98],"system":[33,125],"that":[34,68,121],"leverages":[35],"a":[36,47,54,78,103,113],"large":[37,104],"corpus":[38,105],"datasets":[40],"their":[42],"learn":[46],"model":[50,63],"automatically.":[51],"Then,":[52],"given":[53],"new":[55,69],"unseen":[56],"dataset":[57],"from":[58,102],"an":[59,92],"arbitrary":[60],"user,":[61],"generates":[65],"dataset,":[70],"derives":[71],"scores":[72],"visualizations,":[75],"outputs":[77],"list":[79],"recommended":[81],"user":[85,114],"ordered":[86],"effectiveness.":[88],"We":[89],"also":[90],"describe":[91],"evaluation":[93],"framework":[94],"quantitatively":[96],"evaluate":[97],"models":[100],"learned":[101],"datasets.":[109],"Through":[110],"quantitative":[111],"experiments,":[112],"study,":[115],"qualitative":[117],"analysis,":[118],"show":[120],"our":[122],"recommends":[126],"more":[127],"effective":[128],"useful":[130],"compared":[132],"existing":[134],"state-of-the-art":[135],"rule-based":[136],"systems.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":9}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
