{"id":"https://openalex.org/W2054526494","doi":"https://doi.org/10.1145/2566486.2568008","title":"Robust multivariate autoregression for anomaly detection in dynamic product ratings","display_name":"Robust multivariate autoregression for anomaly detection in dynamic product ratings","publication_year":2014,"publication_date":"2014-04-07","ids":{"openalex":"https://openalex.org/W2054526494","doi":"https://doi.org/10.1145/2566486.2568008","mag":"2054526494"},"language":"en","primary_location":{"id":"doi:10.1145/2566486.2568008","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2566486.2568008","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd international conference on World wide web","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/A5077533932","display_name":"Nikou G\u00fcnnemann","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nikou G\u00fcnnemann","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074504351","display_name":"Stephan G\u00fcnnemann","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephan G\u00fcnnemann","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035605036","display_name":"Christos Faloutsos","orcid":"https://orcid.org/0000-0003-2996-9790"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christos Faloutsos","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077533932"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":4.3124,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.94708943,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"361","last_page":"372"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9979000091552734,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9908999800682068,"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/autoregressive-model","display_name":"Autoregressive model","score":0.8255729675292969},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7162195444107056},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.549868643283844},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5383937954902649},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5383331179618835},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5213457345962524},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.47646141052246094},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4736917018890381},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45646965503692627},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4442998766899109},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4299044907093048},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.41423457860946655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37463027238845825},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.37066221237182617},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1430714726448059}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.8255729675292969},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7162195444107056},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.549868643283844},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5383937954902649},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5383331179618835},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5213457345962524},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.47646141052246094},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4736917018890381},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45646965503692627},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4442998766899109},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4299044907093048},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.41423457860946655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37463027238845825},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.37066221237182617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1430714726448059},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2566486.2568008","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2566486.2568008","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd international conference on World wide web","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G228464024","display_name":null,"funder_award_id":"W911NF-11-C-0088","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G4555291064","display_name":null,"funder_award_id":"W911NF-11-C-0088","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G5756910891","display_name":null,"funder_award_id":"CNS-1314632","funder_id":"https://openalex.org/F4320337388","funder_display_name":"Division of Computer and Network Systems"},{"id":"https://openalex.org/G948678646","display_name":null,"funder_award_id":"W911NF-09-2-0053","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320320875","display_name":"Deutscher Akademischer Austauschdienst","ror":"https://ror.org/039djdh30"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320337388","display_name":"Division of Computer and Network Systems","ror":"https://ror.org/02rdzmk74"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W129077257","https://openalex.org/W1500063156","https://openalex.org/W1501116416","https://openalex.org/W1503747946","https://openalex.org/W1511796008","https://openalex.org/W1574649625","https://openalex.org/W1576242567","https://openalex.org/W1590407118","https://openalex.org/W1663973292","https://openalex.org/W2017288758","https://openalex.org/W2028781966","https://openalex.org/W2034518400","https://openalex.org/W2038680758","https://openalex.org/W2041022395","https://openalex.org/W2077242081","https://openalex.org/W2107861471","https://openalex.org/W2122951085","https://openalex.org/W2123649031","https://openalex.org/W2126668712","https://openalex.org/W2129713756","https://openalex.org/W2145962650","https://openalex.org/W2148557226","https://openalex.org/W2159662257","https://openalex.org/W2318032547","https://openalex.org/W2338990760","https://openalex.org/W2480455979","https://openalex.org/W2497366721","https://openalex.org/W2499382624","https://openalex.org/W2594639291","https://openalex.org/W2947626232","https://openalex.org/W3099514962","https://openalex.org/W3143839440","https://openalex.org/W4245050711","https://openalex.org/W6629510986","https://openalex.org/W6629945851"],"related_works":["https://openalex.org/W2171218219","https://openalex.org/W1972271943","https://openalex.org/W2150410159","https://openalex.org/W4327525404","https://openalex.org/W4287185323","https://openalex.org/W3150905897","https://openalex.org/W1520183331","https://openalex.org/W2734842993","https://openalex.org/W2168175994","https://openalex.org/W2049473509"],"abstract_inverted_index":{"User":[0],"provided":[1],"rating":[2,35,51,85],"data":[3],"about":[4],"products":[5],"and":[6,147],"services":[7],"is":[8,126],"one":[9],"key":[10],"feature":[11],"of":[12,34,43,50,68,112],"websites":[13],"such":[14],"as":[15,117],"Amazon,":[16],"TripAdvisor,":[17],"or":[18,96],"Yelp.":[19],"Since":[20],"these":[21,105],"ratings":[22],"are":[23],"rather":[24],"static":[25],"but":[26],"might":[27],"change":[28],"over":[29,74],"time,":[30],"a":[31,44,48,71,115,118,129],"temporal":[32],"analysis":[33],"distributions":[36],"provides":[37],"deeper":[38],"insights":[39],"into":[40],"the":[41,58,65,84,100,109,136],"evolution":[42],"products'":[45],"quality.":[46],"Given":[47],"time-series":[49],"distributions,":[52],"in":[53,81,99],"this":[54,89],"work,":[55],"we":[56,107,148],"answer":[57],"following":[59],"questions:":[60],"(1)":[61],"How":[62,77],"to":[63,78,94,135],"detect":[64,79],"base":[66,90,110],"behavior":[67,111,125],"users":[69,113],"regarding":[70,114],"product's":[72,101],"evaluation":[73],"time?":[75],"(2)":[76],"points":[80],"time":[82],"where":[83],"distribution":[86],"differs":[87],"from":[88],"behavior,":[91],"e.g.,":[92],"due":[93],"attacks":[95],"spontaneous":[97],"changes":[98],"quality?":[102],"To":[103],"achieve":[104],"goals,":[106],"model":[108],"product":[116],"latent":[119,124],"multivariate":[120],"autoregressive":[121],"process.":[122],"This":[123],"mixed":[127],"with":[128],"sparse":[130],"anomaly":[131],"signal":[132],"finally":[133],"leading":[134],"observed":[137],"data.":[138],"We":[139],"propose":[140],"an":[141],"efficient":[142],"algorithm":[143],"solving":[144],"our":[145],"objective":[146],"present":[149],"interesting":[150],"findings":[151],"on":[152],"various":[153],"real":[154],"world":[155],"datasets.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}