{"id":"https://openalex.org/W2766757118","doi":"https://doi.org/10.1145/3123266.3127903","title":"Popularity Meter","display_name":"Popularity Meter","publication_year":2017,"publication_date":"2017-10-20","ids":{"openalex":"https://openalex.org/W2766757118","doi":"https://doi.org/10.1145/3123266.3127903","mag":"2766757118"},"language":"en","primary_location":{"id":"doi:10.1145/3123266.3127903","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3123266.3127903","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM international conference on Multimedia","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/A5078436932","display_name":"Shintami Chusnul Hidayati","orcid":null},"institutions":[{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shintami Chusnul Hidayati","raw_affiliation_strings":["Academia Sinica, Taipei City, Taiwan Roc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academia Sinica, Taipei City, Taiwan Roc","institution_ids":["https://openalex.org/I84653119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100738421","display_name":"Yi\u2010Ling Chen","orcid":"https://orcid.org/0000-0002-9191-7169"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Ling Chen","raw_affiliation_strings":["National Taiwan University of Science and Technology, Taipei City, Taiwan Roc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology, Taipei City, Taiwan Roc","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020290986","display_name":"Chao-Lung Yang","orcid":"https://orcid.org/0000-0001-5585-0094"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chao-Lung Yang","raw_affiliation_strings":["National Taiwan University of Science and Technology, Taipei City, Taiwan Roc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology, Taipei City, Taiwan Roc","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101651291","display_name":"Kai\u2010Lung Hua","orcid":"https://orcid.org/0000-0002-7735-243X"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kai-Lung Hua","raw_affiliation_strings":["National Taiwan University of Science and Technology, Taipei City, Taiwan Roc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology, Taipei City, Taiwan Roc","institution_ids":["https://openalex.org/I154864474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4963,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.91907916,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1918","last_page":"1923"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9850000143051147,"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"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9850000143051147,"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":0.5994507670402527},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5502342581748962},{"id":"https://openalex.org/keywords/metre","display_name":"Metre","score":0.49911022186279297},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08779263496398926}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5994507670402527},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5502342581748962},{"id":"https://openalex.org/C151011524","wikidata":"https://www.wikidata.org/wiki/Q11573","display_name":"Metre","level":2,"score":0.49911022186279297},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08779263496398926},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3123266.3127903","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3123266.3127903","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1756034034","https://openalex.org/W1971700777","https://openalex.org/W1976517433","https://openalex.org/W2000213460","https://openalex.org/W2030628044","https://openalex.org/W2039355801","https://openalex.org/W2056380823","https://openalex.org/W2064917215","https://openalex.org/W2069118956","https://openalex.org/W2090059852","https://openalex.org/W2102841071","https://openalex.org/W2104915826","https://openalex.org/W2118585731","https://openalex.org/W2120441732","https://openalex.org/W2139750075","https://openalex.org/W2170872804","https://openalex.org/W2276349309","https://openalex.org/W2463955103","https://openalex.org/W2472257696","https://openalex.org/W2524482439","https://openalex.org/W2564824819","https://openalex.org/W2912934387","https://openalex.org/W2963603520","https://openalex.org/W2963759277","https://openalex.org/W3001645704","https://openalex.org/W3085162807","https://openalex.org/W3105117297","https://openalex.org/W4298270085","https://openalex.org/W4298304654"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W2170801710","https://openalex.org/W2952704802","https://openalex.org/W4294565801"],"abstract_inverted_index":{"Social":[0],"media":[1],"websites":[2],"have":[3,63],"become":[4],"an":[5],"important":[6,54,175],"channel":[7],"for":[8,174],"content":[9,162,178],"sharing":[10],"and":[11,76,140,142,157,180],"communication":[12],"between":[13],"users":[14],"on":[15,21,48],"social":[16,49,155],"networks.":[17],"The":[18,116],"shared":[19],"images":[20],"the":[22,25,28,42,67,90,103,125,154,158],"websites,":[23],"even":[24],"ones":[26],"from":[27,114,135],"same":[29],"user,":[30],"tend":[31],"to":[32,88,170],"receive":[33],"a":[34,107,148],"quite":[35],"diverse":[36],"distribution":[37],"of":[38,44,66,83,92,110,161],"views.":[39],"This":[40],"raises":[41],"problem":[43],"image":[45,68,98,112],"popularity":[46,150],"prediction":[47],"media.":[50],"To":[51],"address":[52],"this":[53],"research":[55,165],"topic,":[56],"we":[57,80],"explore":[58],"three":[59],"essential":[60],"components":[61],"that":[62,123,132],"considerable":[64],"impact":[65],"popularity,":[69,163],"which":[70],"are":[71],"user":[72],"profile,":[73],"post":[74],"metadata,":[75],"photo":[77],"aesthetics.":[78],"Moreover,":[79],"make":[81],"use":[82],"state-of-the-art":[84],"predictive":[85],"modeling":[86],"approaches":[87],"demonstrate":[89],"effectiveness":[91],"our":[93,164],"proposed":[94,104,126],"features":[95,127],"in":[96],"predicting":[97],"popularity.":[99],"We":[100],"then":[101],"evaluate":[102],"method":[105,131],"through":[106],"large":[108],"number":[109],"real":[111],"posts":[113],"Flickr.":[115],"experimental":[117],"results":[118,166],"show":[119],"significant":[120],"statistical":[121],"evidence":[122],"incorporating":[124],"with":[128],"ensemble":[129],"learning":[130],"combines":[133],"predictions":[134],"support":[136],"vector":[137],"regression":[138,143],"(SVR)":[139],"classification":[141],"tree":[144],"(CART)":[145],"models":[146],"offers":[147],"satisfactory":[149],"prediction.":[151],"By":[152],"understanding":[153],"behavior":[156],"underlying":[159],"structure":[160],"can":[167],"also":[168],"contribute":[169],"designing":[171],"better":[172],"algorithms":[173],"applications":[176],"like":[177],"recommendation":[179],"advertisement":[181],"placement.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":9},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3}],"updated_date":"2026-06-30T13:55:48.251075","created_date":"2017-11-10T00:00:00"}
