{"id":"https://openalex.org/W2765682937","doi":"https://doi.org/10.1145/3123266.3127894","title":"Social Media Prediction Based on Residual Learning and Random Forest","display_name":"Social Media Prediction Based on Residual Learning and Random Forest","publication_year":2017,"publication_date":"2017-10-20","ids":{"openalex":"https://openalex.org/W2765682937","doi":"https://doi.org/10.1145/3123266.3127894","mag":"2765682937"},"language":"en","primary_location":{"id":"doi:10.1145/3123266.3127894","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3123266.3127894","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/A5007305393","display_name":"Chih\u2013Chung Hsu","orcid":"https://orcid.org/0000-0002-2083-4438"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chih-Chung Hsu","raw_affiliation_strings":["National Tsing-Hua University, Hsinchu, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Tsing-Hua University, Hsinchu, Taiwan Roc","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068548951","display_name":"Ying-Chin Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ying-Chin Lee","raw_affiliation_strings":["National Tsing-Hua University, Hsinchu, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Tsing-Hua University, Hsinchu, Taiwan Roc","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081012062","display_name":"Ping-En Lu","orcid":"https://orcid.org/0000-0002-1352-0983"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ping-En Lu","raw_affiliation_strings":["National Tsing-Hua University, Hsinchu, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Tsing-Hua University, Hsinchu, Taiwan Roc","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075981399","display_name":"Shian-Shin Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shian-Shin Lu","raw_affiliation_strings":["National Tsing-Hua University, Hsinchu, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Tsing-Hua University, Hsinchu, Taiwan Roc","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062522039","display_name":"Hsiao-Ting Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsiao-Ting Lai","raw_affiliation_strings":["National Tsing-Hua University, Hsinchu, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Tsing-Hua University, Hsinchu, Taiwan Roc","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014218352","display_name":"Chihg-Chu Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chihg-Chu Huang","raw_affiliation_strings":["National Tsing-Hua University, Hsinchu, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Tsing-Hua University, Hsinchu, Taiwan Roc","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367577","display_name":"Chun Wang","orcid":"https://orcid.org/0000-0002-4248-5873"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chun Wang","raw_affiliation_strings":["National Tsing-Hua University, Hsinchu, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Tsing-Hua University, Hsinchu, Taiwan Roc","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012689341","display_name":"Yang-Jiun Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yang-Jiun Lin","raw_affiliation_strings":["National Tsing-Hua University, Hcinshu, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Tsing-Hua University, Hcinshu, Taiwan Roc","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039419978","display_name":"Weng-Tai Su","orcid":"https://orcid.org/0000-0003-3230-6760"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Weng-Tai Su","raw_affiliation_strings":["National Tsing-Hua University, Hsinchu, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Tsing-Hua University, Hsinchu, Taiwan Roc","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5007305393"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":1.1833,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.87367688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1865","last_page":"1870"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9955999851226807,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9955999851226807,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9923999905586243,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9894000291824341,"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/overfitting","display_name":"Overfitting","score":0.9038318395614624},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.8888645172119141},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.8052285313606262},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.656854510307312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6009950041770935},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5958905816078186},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5480797290802002},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5062553286552429},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.43647050857543945},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.43381422758102417},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4134126305580139},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3526022434234619},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2224087417125702},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14951741695404053},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08267799019813538}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.9038318395614624},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8888645172119141},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8052285313606262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.656854510307312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6009950041770935},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5958905816078186},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5480797290802002},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5062553286552429},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.43647050857543945},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.43381422758102417},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4134126305580139},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3526022434234619},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2224087417125702},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14951741695404053},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08267799019813538},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3123266.3127894","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3123266.3127894","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":5,"referenced_works":["https://openalex.org/W2153635508","https://openalex.org/W2194775991","https://openalex.org/W2591794136","https://openalex.org/W2963759277","https://openalex.org/W4299828299"],"related_works":["https://openalex.org/W4295815739","https://openalex.org/W2915512385","https://openalex.org/W2048488252","https://openalex.org/W4289884158","https://openalex.org/W2940614149","https://openalex.org/W2358152617","https://openalex.org/W1992789595","https://openalex.org/W4288365262","https://openalex.org/W2787485953","https://openalex.org/W2148735966"],"abstract_inverted_index":{"In":[0,42],"this":[1,43,87,99],"paper,":[2],"we":[3,46],"propose":[4],"a":[5,22,66],"unified":[6],"framework":[7],"for":[8,16,57,136],"the":[9,30,36,40,49,58,73,79,95,102,106,115,128,133,144,147],"residual":[10,91,103,129],"learning":[11,92],"and":[12,26,108,117],"random":[13,54],"forest":[14,55],"regression":[15,44],"social":[17,28,59,119],"media":[18],"prediction":[19,107,135],"task.":[20],"Given":[21],"post":[23],"including":[24],"photo":[25],"its":[27,109,118],"information,":[29],"primary":[31],"goal":[32],"is":[33,112],"to":[34,64,70,83,93,123,126,131],"predict":[35,48,127],"view":[37,50,76,139],"count":[38,51],"of":[39,78,105,146],"post.":[41],"problem,":[45],"first":[47],"based":[52],"on":[53,98],"regressor":[56,62],"information.":[60],"Since":[61],"tends":[63],"learn":[65],"relative":[67],"soothingness":[68],"model":[69],"avoid":[71],"overfitting,":[72],"extreme":[74,137],"high/low":[75,138],"counts":[77],"poses":[80],"are":[81],"hard":[82],"predict.":[84],"We":[85],"solve":[86],"problem":[88],"by":[89],"using":[90],"refine":[94],"prediction.":[96],"Based":[97],"initial":[100,134],"prediction,":[101],"value":[104,130],"ground":[110],"truth":[111],"calculated.":[113],"Then,":[114],"image":[116],"information":[120],"will":[121],"feed":[122],"13-layers":[124],"ResNet":[125],"compensate":[132],"counts.":[140],"Experiments":[141],"show":[142],"that":[143],"performance":[145],"proposed":[148],"method":[149],"significantly":[150],"outperforms":[151],"other":[152],"methods.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
