{"id":"https://openalex.org/W3154543933","doi":"https://doi.org/10.1145/3397481.3450690","title":"User Preferences for Automated Curation of Snackable Content","display_name":"User Preferences for Automated Curation of Snackable Content","publication_year":2021,"publication_date":"2021-04-14","ids":{"openalex":"https://openalex.org/W3154543933","doi":"https://doi.org/10.1145/3397481.3450690","mag":"3154543933"},"language":"en","primary_location":{"id":"doi:10.1145/3397481.3450690","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397481.3450690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"26th International Conference on Intelligent User Interfaces","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/A5066599072","display_name":"Allyson King","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Allyson King","raw_affiliation_strings":["Texas A&M University, United States"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, United States","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052762862","display_name":"Eric Zavesky","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eric Zavesky","raw_affiliation_strings":["Data Science and AI Research AT&T Chief Data Office, United States"],"affiliations":[{"raw_affiliation_string":"Data Science and AI Research AT&T Chief Data Office, United States","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007752395","display_name":"Michael J. Gonzales","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael J Gonzales","raw_affiliation_strings":["Design Technology AT&T, United States"],"affiliations":[{"raw_affiliation_string":"Design Technology AT&T, United States","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066599072"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3843,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.59101307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"270","last_page":"274"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9998000264167786,"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":0.9998000264167786,"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/T12720","display_name":"Multimedia Communication and Technology","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/entertainment","display_name":"Entertainment","score":0.7325195074081421},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6217907667160034},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.602486252784729},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5302959084510803},{"id":"https://openalex.org/keywords/duration","display_name":"Duration (music)","score":0.520160436630249},{"id":"https://openalex.org/keywords/theme","display_name":"Theme (computing)","score":0.5127037763595581},{"id":"https://openalex.org/keywords/user-generated-content","display_name":"User-generated content","score":0.4977462589740753},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.49723103642463684},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.45433077216148376},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.43559950590133667},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.4267004132270813},{"id":"https://openalex.org/keywords/clips","display_name":"CLIPS","score":0.4108874201774597},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.33712875843048096},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.15918639302253723},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13352859020233154},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.12675541639328003},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.10173270106315613},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09529197216033936}],"concepts":[{"id":"https://openalex.org/C512170562","wikidata":"https://www.wikidata.org/wiki/Q173799","display_name":"Entertainment","level":2,"score":0.7325195074081421},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6217907667160034},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.602486252784729},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5302959084510803},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.520160436630249},{"id":"https://openalex.org/C33566652","wikidata":"https://www.wikidata.org/wiki/Q1065927","display_name":"Theme (computing)","level":2,"score":0.5127037763595581},{"id":"https://openalex.org/C101293273","wikidata":"https://www.wikidata.org/wiki/Q579716","display_name":"User-generated content","level":3,"score":0.4977462589740753},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.49723103642463684},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.45433077216148376},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.43559950590133667},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.4267004132270813},{"id":"https://openalex.org/C2778739407","wikidata":"https://www.wikidata.org/wiki/Q165372","display_name":"CLIPS","level":2,"score":0.4108874201774597},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.33712875843048096},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.15918639302253723},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13352859020233154},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.12675541639328003},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.10173270106315613},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09529197216033936},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3397481.3450690","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397481.3450690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"26th International Conference on Intelligent User Interfaces","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":3,"referenced_works":["https://openalex.org/W1924343884","https://openalex.org/W2171960770","https://openalex.org/W2894060880"],"related_works":["https://openalex.org/W2417253731","https://openalex.org/W2350469024","https://openalex.org/W2491583298","https://openalex.org/W2036154621","https://openalex.org/W2327827625","https://openalex.org/W2395860100","https://openalex.org/W795077857","https://openalex.org/W2376416463","https://openalex.org/W2007338512","https://openalex.org/W4388801239"],"abstract_inverted_index":{"As":[0],"the":[1,6,77,147],"volume":[2],"of":[3,8,32,47,58,82,93,108,134],"content":[4,14,27,34,52,60,71,94,135],"and":[5,20,44,80,101,124,160],"connectivity":[7],"social":[9,73],"media":[10,74],"have":[11,87],"grown,":[12],"snackable":[13,70,129,156],"has":[15],"increasingly":[16],"become":[17],"an":[18],"enjoyable":[19],"engaging":[21],"way":[22],"to":[23,142],"share":[24],"content.":[25],"Snackable":[26],"is":[28,76],"a":[29,37,48,55,151,167],"shortened":[30],"form":[31],"original":[33],"focusing":[35],"on":[36],"single":[38],"theme":[39],"or":[40,164],"motif":[41],"for":[42,90,95,117,127,153],"entertainment":[43],"quick":[45],"understanding":[46],"video":[49],"moment.":[50],"For":[51],"owners":[53],"with":[54,136,166],"large":[56],"library":[57],"long-form":[59],"(movies,":[61],"television":[62],"series,":[63],"documentaries,":[64],"etc.),":[65],"one":[66],"challenge":[67],"in":[68,72],"accommodating":[69],"uses":[75],"correct":[78],"identification":[79],"cutting":[81],"interesting":[83],"regions.":[84],"Related":[85],"problems":[86],"been":[88],"studied":[89],"algorithmic":[91],"discovery":[92],"movie":[96],"trailers,":[97],"short-duration":[98],"meme":[99],"content,":[100],"medium":[102],"duration":[103],"news":[104],"stories,":[105],"but":[106],"none":[107],"these":[109],"approaches":[110],"included":[111],"user":[112,139],"preferences":[113],"as":[114],"explicit":[115],"drivers":[116],"cuts.":[118],"This":[119],"paper":[120],"analyzes":[121],"both":[122],"human":[123,168],"automatic":[125],"methods":[126],"creating":[128],"clips":[130,157],"across":[131],"different":[132],"categories":[133],"two":[137],"comprehensive":[138],"studies.":[140],"Contrary":[141],"initial":[143],"expectations,":[144],"findings":[145],"amongst":[146],"surveyed":[148],"population":[149],"indicate":[150],"preference":[152],"slightly":[154],"longer":[155],"(60-90":[158],"seconds)":[159],"those":[161],"that":[162],"began":[163],"ended":[165],"character.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}