{"id":"https://openalex.org/W4312854952","doi":"https://doi.org/10.1109/mmsp55362.2022.9950013","title":"Quantitative causality analysis of viewing abandonment reasons using Shapley value","display_name":"Quantitative causality analysis of viewing abandonment reasons using Shapley value","publication_year":2022,"publication_date":"2022-09-26","ids":{"openalex":"https://openalex.org/W4312854952","doi":"https://doi.org/10.1109/mmsp55362.2022.9950013"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp55362.2022.9950013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp55362.2022.9950013","pdf_url":null,"source":{"id":"https://openalex.org/S4363605768","display_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","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/A5001208355","display_name":"Sosa Akimoto","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Sosa Akimoto","raw_affiliation_strings":["NTT Corporation,NTT Network Service Systems Laboratories","NTT Network Service Systems Laboratories, NTT Corporation"],"affiliations":[{"raw_affiliation_string":"NTT Corporation,NTT Network Service Systems Laboratories","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Network Service Systems Laboratories, NTT Corporation","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010351015","display_name":"Pierre Lebreton","orcid":"https://orcid.org/0000-0003-3460-8711"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Pierre Lebreton","raw_affiliation_strings":["NTT Corporation,NTT Network Service Systems Laboratories","NTT Network Service Systems Laboratories, NTT Corporation"],"affiliations":[{"raw_affiliation_string":"NTT Corporation,NTT Network Service Systems Laboratories","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Network Service Systems Laboratories, NTT Corporation","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023721417","display_name":"Shoko Takahashi","orcid":"https://orcid.org/0009-0008-4292-2093"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shoko Takahashi","raw_affiliation_strings":["NTT Corporation,NTT Network Service Systems Laboratories","NTT Network Service Systems Laboratories, NTT Corporation"],"affiliations":[{"raw_affiliation_string":"NTT Corporation,NTT Network Service Systems Laboratories","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Network Service Systems Laboratories, NTT Corporation","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029692604","display_name":"Kazuhisa Yamagishi","orcid":"https://orcid.org/0000-0001-9219-6351"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhisa Yamagishi","raw_affiliation_strings":["NTT Corporation,NTT Network Service Systems Laboratories","NTT Network Service Systems Laboratories, NTT Corporation"],"affiliations":[{"raw_affiliation_string":"NTT Corporation,NTT Network Service Systems Laboratories","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Network Service Systems Laboratories, NTT Corporation","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001208355"],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":0.0599,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.32396977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"30","issue":null,"first_page":"01","last_page":"06"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9972000122070312,"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":0.9972000122070312,"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/T10068","display_name":"Technology Adoption and User Behaviour","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9197282195091248},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.7104274034500122},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6956288814544678},{"id":"https://openalex.org/keywords/abandonment","display_name":"Abandonment (legal)","score":0.604336678981781},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.5729426145553589},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.5319820642471313},{"id":"https://openalex.org/keywords/omitted-variable-bias","display_name":"Omitted-variable bias","score":0.5199373960494995},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4780752658843994},{"id":"https://openalex.org/keywords/shapley-value","display_name":"Shapley value","score":0.47802528738975525},{"id":"https://openalex.org/keywords/variables","display_name":"Variables","score":0.4427230954170227},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39037075638771057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37953537702560425},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17656663060188293}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9197282195091248},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.7104274034500122},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6956288814544678},{"id":"https://openalex.org/C2779816988","wikidata":"https://www.wikidata.org/wiki/Q305418","display_name":"Abandonment (legal)","level":2,"score":0.604336678981781},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.5729426145553589},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5319820642471313},{"id":"https://openalex.org/C6571938","wikidata":"https://www.wikidata.org/wiki/Q3274486","display_name":"Omitted-variable bias","level":2,"score":0.5199373960494995},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4780752658843994},{"id":"https://openalex.org/C199022921","wikidata":"https://www.wikidata.org/wiki/Q240046","display_name":"Shapley value","level":3,"score":0.47802528738975525},{"id":"https://openalex.org/C27574286","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Variables","level":2,"score":0.4427230954170227},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39037075638771057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37953537702560425},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17656663060188293},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp55362.2022.9950013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp55362.2022.9950013","pdf_url":null,"source":{"id":"https://openalex.org/S4363605768","display_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.5699999928474426,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1969878926","https://openalex.org/W1970636617","https://openalex.org/W1974561310","https://openalex.org/W2487678389","https://openalex.org/W2487898712","https://openalex.org/W2605409611","https://openalex.org/W2768257650","https://openalex.org/W2768348081","https://openalex.org/W2911964244","https://openalex.org/W2955933490","https://openalex.org/W3034376522","https://openalex.org/W3037077985","https://openalex.org/W3146613606","https://openalex.org/W4248960428","https://openalex.org/W4288092767","https://openalex.org/W4295267831","https://openalex.org/W6736518430","https://openalex.org/W6745609711","https://openalex.org/W6768977623","https://openalex.org/W6784552719"],"related_works":["https://openalex.org/W4206534706","https://openalex.org/W4229079080","https://openalex.org/W4205364923","https://openalex.org/W3012234327","https://openalex.org/W3006943036","https://openalex.org/W3010596618","https://openalex.org/W2118356241","https://openalex.org/W2106069978","https://openalex.org/W4312854952","https://openalex.org/W2131275242"],"abstract_inverted_index":{"As":[0,19],"adaptive":[1,128],"bitrate":[2,129],"streaming":[3,9,130],"services":[4],"are":[5,24],"widely":[6],"used,":[7],"video":[8],"providers":[10],"need":[11,35,76],"to":[12,26,36,77,80,97,108,189],"know":[13],"what":[14],"factors":[15,23],"impact":[16],"viewing":[17,28,33,138],"abandonments.":[18],"quality":[20],"and":[21,65,107,131,153,166,183],"content-related":[22],"known":[25],"influence":[27],"abandonments,":[29],"the":[30,57,60,82,99,112,150,155,167,181,191,194],"reasons":[31,140],"for":[32],"abandonments":[34],"be":[37,78],"analyzed":[38,154],"while":[39],"considering":[40],"both":[41],"factors.":[42],"For":[43],"this":[44,88],"purpose,":[45],"previous":[46],"studies":[47],"developed":[48,103],"machine":[49,104],"learning":[50,105],"models,":[51],"but":[52],"most":[53],"of":[54,59,84,101,114,193],"them":[55],"lack":[56],"interpretability":[58,100],"relationships":[61,72,156,182,195],"between":[62,157],"explanatory":[63,74,117,158],"variables":[64,75,159],"a":[66,102,121],"target":[67,168],"variable.":[68,86],"In":[69,87],"addition,":[70],"causal":[71],"among":[73,116],"considered":[79],"disambiguate":[81],"effect":[83,113],"each":[85],"paper,":[89],"we":[90],"propose":[91],"using":[92],"Asymmetric":[93],"Shapley":[94],"value":[95],"(ASV)":[96],"study":[98],"model":[106,152],"take":[109],"into":[110,141,180],"account":[111],"causalities":[115],"variables.":[118],"We":[119,145],"used":[120],"dataset":[122],"collected":[123],"in":[124],"laboratory":[125],"experiments":[126],"on":[127],"built":[132],"binary":[133],"classification":[134],"models":[135],"that":[136],"classify":[137],"abandonment":[139,171],"quality-induced":[142],"or":[143],"content-induced.":[144],"selected":[146],"random":[147],"forests":[148],"as":[149],"best":[151],"(application":[160],"quality,":[161],"users'":[162],"behavior,":[163],"content":[164],"attribute)":[165],"variable":[169],"(viewing":[170],"reason)":[172],"with":[173],"ASV.":[174],"The":[175],"results":[176],"provided":[177],"meaningful":[178],"insights":[179],"showed":[184],"assuming":[185],"causality":[186],"is":[187],"helpful":[188],"modify":[190],"estimation":[192]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
