{"id":"https://openalex.org/W2738039240","doi":"https://doi.org/10.1109/iwcmc.2017.7986258","title":"QoE prediction for IPTV based on BP_adaboost neural networks","display_name":"QoE prediction for IPTV based on BP_adaboost neural networks","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2738039240","doi":"https://doi.org/10.1109/iwcmc.2017.7986258","mag":"2738039240"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc.2017.7986258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2017.7986258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)","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/A5008576997","display_name":"Yun Gao","orcid":"https://orcid.org/0000-0002-9694-0907"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yun Gao","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040173124","display_name":"Xin Wei","orcid":"https://orcid.org/0000-0001-6183-2298"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Wei","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015036096","display_name":"Wenqin Zhuang","orcid":"https://orcid.org/0000-0001-6071-7861"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqin Zhuang","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102706482","display_name":"Ruochen Huang","orcid":"https://orcid.org/0009-0006-5297-2970"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruochen Huang","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009100546","display_name":"Mengwen Diao","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengwen Diao","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5008576997"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.2051,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.56557606,"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":"32","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","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/T11165","display_name":"Image and Video Quality Assessment","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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"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/T12720","display_name":"Multimedia Communication and Technology","score":0.975600004196167,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/iptv","display_name":"IPTV","score":0.9093114733695984},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8199996948242188},{"id":"https://openalex.org/keywords/quality-of-experience","display_name":"Quality of experience","score":0.801947832107544},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5412447452545166},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44630736112594604},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.4305761456489563},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.412083238363266},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3914518356323242},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3571752905845642},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3423353433609009},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.30965107679367065}],"concepts":[{"id":"https://openalex.org/C2776855496","wikidata":"https://www.wikidata.org/wiki/Q177518","display_name":"IPTV","level":2,"score":0.9093114733695984},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8199996948242188},{"id":"https://openalex.org/C2779333187","wikidata":"https://www.wikidata.org/wiki/Q3132648","display_name":"Quality of experience","level":3,"score":0.801947832107544},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5412447452545166},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44630736112594604},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.4305761456489563},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.412083238363266},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3914518356323242},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3571752905845642},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3423353433609009},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.30965107679367065},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","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:10.1109/iwcmc.2017.7986258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc.2017.7986258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1668285650","https://openalex.org/W1801212290","https://openalex.org/W1916769834","https://openalex.org/W1978984614","https://openalex.org/W2002714439","https://openalex.org/W2013345733","https://openalex.org/W2014756931","https://openalex.org/W2023486111","https://openalex.org/W2028304877","https://openalex.org/W2034415518","https://openalex.org/W2081608404","https://openalex.org/W2086253016","https://openalex.org/W2126311411","https://openalex.org/W2147201699","https://openalex.org/W2156077514","https://openalex.org/W2169240112","https://openalex.org/W2183642108","https://openalex.org/W2325386712","https://openalex.org/W2362238774","https://openalex.org/W2472768134","https://openalex.org/W2511148373","https://openalex.org/W2558980543","https://openalex.org/W2569554180","https://openalex.org/W2790718085","https://openalex.org/W4244811966","https://openalex.org/W6725063865"],"related_works":["https://openalex.org/W2361237523","https://openalex.org/W2775175000","https://openalex.org/W2772289118","https://openalex.org/W2354113885","https://openalex.org/W2136238146","https://openalex.org/W2977877882","https://openalex.org/W2269355511","https://openalex.org/W2068552192","https://openalex.org/W2111755990","https://openalex.org/W2044415708"],"abstract_inverted_index":{"With":[0],"the":[1,34,40,48,66,73,97,104,109,115,123],"popularity":[2],"of":[3,27,37,42],"IPTV":[4,8,51],"in":[5],"television":[6],"industry,":[7],"operators":[9],"pay":[10],"more":[11,21],"attention":[12],"on":[13],"user's":[14,35],"experience":[15],"so":[16],"that":[17,114],"they":[18],"could":[19],"gain":[20],"revenue":[22],"under":[23],"fierce":[24],"competition.":[25],"Quality":[26],"Experience":[28],"(QoE)":[29],"is":[30,44],"used":[31],"to":[32,46,107],"describe":[33],"degree":[36],"satisfaction":[38],"and":[39,71],"prediction":[41,61],"QoE":[43,60],"gradually":[45],"be":[47],"interest":[49],"for":[50],"operators.":[52],"To":[53],"solve":[54],"this":[55],"problem,":[56],"we":[57,64,95],"propose":[58],"a":[59,81],"algorithm.":[62],"Specifically,":[63],"preprocess":[65],"raw":[67],"data":[68],"at":[69],"first":[70],"select":[72],"important":[74],"attributes":[75],"influencing":[76],"QoE.":[77,110],"This":[78],"work":[79],"introduces":[80],"new":[82],"attribute":[83],"called":[84],"viewing":[85],"ratio.":[86],"It":[87],"can":[88],"effectively":[89],"reflect":[90],"users'":[91],"subjective":[92],"feelings.":[93],"Subsequently,":[94],"combine":[96],"BP":[98],"neural":[99],"network":[100],"with":[101,122],"Adaboosting,":[102],"proposing":[103],"BP_Ada":[105],"algorithm":[106,117],"predict":[108],"Experimental":[111],"results":[112],"show":[113],"proposed":[116],"has":[118],"better":[119],"performance":[120],"comparing":[121],"competing":[124],"algorithms.":[125]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}