{"id":"https://openalex.org/W2593843566","doi":"https://doi.org/10.1145/3038462.3038467","title":"Visual Exploration and Analysis of Recommender Histories","display_name":"Visual Exploration and Analysis of Recommender Histories","publication_year":2017,"publication_date":"2017-03-09","ids":{"openalex":"https://openalex.org/W2593843566","doi":"https://doi.org/10.1145/3038462.3038467","mag":"2593843566"},"language":"en","primary_location":{"id":"doi:10.1145/3038462.3038467","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3038462.3038467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM Workshop on Exploratory Search and Interactive Data Analytics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/3504948","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070073565","display_name":"Peter Hasitschka","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088621","display_name":"Know Center Research GmbH (Austria)","ror":"https://ror.org/004zhad81","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210088621"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Peter Hasitschka","raw_affiliation_strings":["Know-Center GmbH, Graz, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Know-Center GmbH, Graz, Austria","institution_ids":["https://openalex.org/I4210088621"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012164072","display_name":"Vedran Sabol","orcid":"https://orcid.org/0000-0002-0599-445X"},"institutions":[{"id":"https://openalex.org/I4210088621","display_name":"Know Center Research GmbH (Austria)","ror":"https://ror.org/004zhad81","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210088621"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Vedran Sabol","raw_affiliation_strings":["Know-Center GmbH, Graz, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Know-Center GmbH, Graz, Austria","institution_ids":["https://openalex.org/I4210088621"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210088621"],"apc_list":null,"apc_paid":null,"fwci":0.3607,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67045923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9979000091552734,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9979000091552734,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9975000023841858,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.996399998664856,"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/computer-science","display_name":"Computer science","score":0.8966412544250488},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6816377639770508},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6730409860610962},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6241074204444885},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5905892252922058},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.4191301167011261},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3856823742389679},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33784177899360657},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24990230798721313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16743671894073486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8966412544250488},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6816377639770508},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6730409860610962},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6241074204444885},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5905892252922058},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.4191301167011261},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3856823742389679},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33784177899360657},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24990230798721313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16743671894073486}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3038462.3038467","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3038462.3038467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM Workshop on Exploratory Search and Interactive Data Analytics","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:3504948","is_oa":true,"landing_page_url":"https://zenodo.org/record/3504948","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:3504948","is_oa":true,"landing_page_url":"https://zenodo.org/record/3504948","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1489443448","https://openalex.org/W1514144512","https://openalex.org/W1516293359","https://openalex.org/W1522840240","https://openalex.org/W1563106801","https://openalex.org/W1968648267","https://openalex.org/W2013378906","https://openalex.org/W2058850543","https://openalex.org/W2059212462","https://openalex.org/W2074494141","https://openalex.org/W2076280967","https://openalex.org/W2083434792","https://openalex.org/W2105837702","https://openalex.org/W2112354254","https://openalex.org/W2143326486","https://openalex.org/W2145824466","https://openalex.org/W2146679896","https://openalex.org/W2160137030","https://openalex.org/W2394877016","https://openalex.org/W2601275284"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2170391450","https://openalex.org/W2735929803","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W135044020","https://openalex.org/W2103058005"],"abstract_inverted_index":{"Content":[0],"based":[1],"recommender":[2,79],"systems":[3],"are":[4],"commonly":[5],"applied":[6],"to":[7,11,64,100,122,149,158,197],"provide":[8,135],"automatic":[9],"support":[10],"users":[12,99],"searching":[13],"for":[14,130],"relevant":[15],"information.":[16],"However,":[17],"as":[18,187],"the":[19,29,37,43,53,62,76,82,105,108,140,154,171,175],"retrieved":[20,44],"number":[21],"of":[22,56,78,85,95,107,125,139],"resources":[23],"may":[24],"grow":[25],"large,":[26],"and":[27,41,66,81,178,196],"because":[28],"user":[30,63,172],"does":[31],"not":[32],"have":[33],"direct":[34],"control":[35],"over":[36,153],"search":[38,68],"process,":[39],"re-finding":[40],"analyzing":[42],"information":[45],"can":[46,88],"become":[47],"a":[48,188],"difficult":[49],"task.":[50],"We":[51],"introduce":[52],"ECHO":[54,184],"(Explorer":[55],"Collection":[57],"HistOries":[58],"tool,":[59],"which":[60],"allows":[61],"visualize":[65],"analyze":[67],"result":[69,119,132,165],"histories.":[70],"Using":[71],"an":[72,136],"interactive":[73,137],"three-dimensional":[74],"scene,":[75],"history":[77,157],"queries":[80],"corresponding":[83],"collections":[84,177],"recommended":[86],"items":[87,162],"be":[89],"easily":[90],"explored.":[91],"A":[92],"multiple":[93],"Levels":[94],"Detail":[96],"approach":[97,169],"empowers":[98],"drill":[101],"down":[102,121],"starting":[103],"from":[104],"overview":[106],"query":[109,156],"history,":[110],"then":[111],"performing":[112],"visual":[113],"meta":[114,141],"data":[115,142],"filtering":[116],"on":[117,204],"each":[118,131],"collection,":[120],"detailed":[123],"representation":[124,145],"single":[126],"results.":[127],"In":[128],"particular,":[129],"collection":[133],"we":[134,202],"visualization":[138],"distribution.":[143],"This":[144],"makes":[146],"it":[147],"possible":[148],"apply":[150],"global":[151],"filters":[152],"entire":[155],"identify":[159],"additional":[160],"valuable":[161],"in":[163,173],"other":[164],"collections.":[166],"Also,":[167],"our":[168],"supports":[170],"comparing":[174],"different":[176],"visually":[179],"identifying":[180],"similarities":[181],"between":[182],"them.":[183],"is":[185],"implemented":[186],"web":[189],"application.":[190],"To":[191],"avoid":[192],"rendering":[193],"performance":[194],"issues":[195],"guarantee":[198],"smooth,":[199],"animated":[200],"transitions,":[201],"rely":[203],"graphic":[205],"card":[206],"acceleration":[207],"using":[208],"WebGL":[209],"technology.":[210]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
