{"id":"https://openalex.org/W4393978776","doi":"https://doi.org/10.1007/978-3-031-57259-3_8","title":"Smart Issue Detection for Large-Scale Online Service Systems Using Multi-Channel Data","display_name":"Smart Issue Detection for Large-Scale Online Service Systems Using Multi-Channel Data","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4393978776","doi":"https://doi.org/10.1007/978-3-031-57259-3_8"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-57259-3_8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-57259-3_8","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-57259-3_8.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-57259-3_8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089236699","display_name":"L. J. Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Liushan Chen","raw_affiliation_strings":["ByteDance Inc., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"ByteDance Inc., Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028795031","display_name":"Yu Pei","orcid":"https://orcid.org/0000-0001-6065-6958"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yu Pei","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong, Hong Kong S.A.R., China"],"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong, Hong Kong S.A.R., China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016314811","display_name":"Mingyang Wan","orcid":"https://orcid.org/0000-0002-1536-3643"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mingyang Wan","raw_affiliation_strings":["ByteDance Inc., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"ByteDance Inc., Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029977184","display_name":"Zhihui Fei","orcid":"https://orcid.org/0000-0002-4221-9727"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhihui Fei","raw_affiliation_strings":["ByteDance Inc., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"ByteDance Inc., Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101917318","display_name":"Tao Liang","orcid":"https://orcid.org/0000-0003-3751-7815"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao Liang","raw_affiliation_strings":["ByteDance Inc., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"ByteDance Inc., Shenzhen, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101664929","display_name":"Guojun Ma","orcid":"https://orcid.org/0000-0001-8770-4809"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guojun Ma","raw_affiliation_strings":["ByteDance Inc., Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"ByteDance Inc., Shenzhen, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5089236699"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11482538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"165","last_page":"187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9793000221252441,"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"}},"topics":[{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9793000221252441,"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"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9776999950408936,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9749000072479248,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8680715560913086},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5546565651893616},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.42206934094429016},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07730752229690552}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8680715560913086},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5546565651893616},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.42206934094429016},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07730752229690552},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-031-57259-3_8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-57259-3_8","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-57259-3_8.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/110290","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/110290","pdf_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/110290/1/978-3-031-57259-3_8.pdf","source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-57259-3_8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-57259-3_8","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-57259-3_8.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4393978776.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1569098853","https://openalex.org/W1614298861","https://openalex.org/W1975566260","https://openalex.org/W2026453187","https://openalex.org/W2028132509","https://openalex.org/W2064675550","https://openalex.org/W2069442545","https://openalex.org/W2085465189","https://openalex.org/W2093606067","https://openalex.org/W2101217650","https://openalex.org/W2119018277","https://openalex.org/W2123873494","https://openalex.org/W2160183388","https://openalex.org/W2389246322","https://openalex.org/W2391120767","https://openalex.org/W2512602240","https://openalex.org/W2547513165","https://openalex.org/W2621033546","https://openalex.org/W2752172973","https://openalex.org/W2756686115","https://openalex.org/W2756832710","https://openalex.org/W2759603254","https://openalex.org/W2785362611","https://openalex.org/W2794090615","https://openalex.org/W2794720137","https://openalex.org/W2901543039","https://openalex.org/W2903950532","https://openalex.org/W2912126994","https://openalex.org/W2975059944","https://openalex.org/W2978631110","https://openalex.org/W3000445396","https://openalex.org/W3037590075","https://openalex.org/W3098957257","https://openalex.org/W3165309304","https://openalex.org/W3215981572"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Abstract":[0],"Given":[1],"the":[2,12,18,35,80,100,133,185,191],"scale":[3],"and":[4,11,103,114,208],"complexity":[5],"of":[6,14,82,155,184,196],"large":[7],"online":[8,142],"service":[9,29,44,78,128,143],"systems":[10,30,51,144],"diversity":[13],"environments":[15],"in":[16,49,76,92,127,159,210],"which":[17,164],"services":[19],"are":[20],"to":[21,46,72,90,122,135],"be":[22],"invoked,":[23],"it":[24,40,68],"is":[25,41,59,86,205],"inevitable":[26],"that":[27,33,105,174],"those":[28],"contain":[31],"bugs":[32],"affect":[34],"users.":[36,57],"As":[37],"a":[38,60,152,194],"result,":[39],"essential":[42],"for":[43,63,138,198],"providers":[45],"discover":[47],"issues":[48,75,126,137,188],"their":[50,147,176],"based":[52,145],"on":[53,146],"information":[54],"gathered":[55,110,150],"from":[56,118],"iFeedback":[58],"state-of-the-art":[61],"technique":[62,102],"user-feedback-based":[64],"issue":[65,211],"detection.":[66,212],"While":[67],"has":[69],"been":[70],"deployed":[71],"help":[73],"detect":[74,125,136],"real-world":[77],"systems,":[79],"accuracy":[81],"iFeedback\u2019s":[83],"detection":[84],"results":[85,202],"relatively":[87],"low":[88],"due":[89],"limitations":[91],"its":[93],"design.":[94],"In":[95],"this":[96],"paper,":[97],"we":[98],"propose":[99],"SkyNet":[101,157,204],"tool":[104,134],"analyzes":[106],"both":[107,206],"user":[108],"feedback":[109],"via":[111],"specific":[112],"channels":[113],"public":[115],"posts":[116],"collected":[117],"social":[119],"media":[120],"platforms":[121],"more":[123],"accurately":[124],"systems.":[129],"We":[130],"have":[131],"applied":[132],"three":[139],"real-world,":[140],"large-scale":[141],"historical":[148],"data":[149],"over":[151],"ten-month":[153],"period":[154],"time.":[156],"reported":[158,189],"total":[160],"2790":[161],"issues,":[162],"among":[163],"93.0%":[165],"were":[166],"confirmed":[167],"by":[168],"developers":[169],"as":[170],"reflecting":[171],"real":[172],"problems":[173],"deserve":[175],"close":[177],"attention.":[178],"It":[179],"also":[180],"detected":[181],"58":[182],"out":[183],"62":[186],"severe":[187,199],"during":[190],"period,":[192],"achieving":[193],"recall":[195],"93.5%":[197],"issues.":[200],"Such":[201],"suggest":[203],"effective":[207],"accurate":[209]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
