{"id":"https://openalex.org/W4387848576","doi":"https://doi.org/10.1145/3583780.3614655","title":"An Efficient Content-based Time Series Retrieval System","display_name":"An Efficient Content-based Time Series Retrieval System","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387848576","doi":"https://doi.org/10.1145/3583780.3614655"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3614655","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3614655","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3614655","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3614655","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011045620","display_name":"Chin\u2010Chia Michael Yeh","orcid":"https://orcid.org/0000-0002-9807-2963"},"institutions":[{"id":"https://openalex.org/I4210148469","display_name":"Visa (United States)","ror":"https://ror.org/05t1y0b59","country_code":"US","type":"company","lineage":["https://openalex.org/I4210148469"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chin-Chia Michael Yeh","raw_affiliation_strings":["Visa Research, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Visa Research, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210148469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004341287","display_name":"Huiyuan Chen","orcid":"https://orcid.org/0000-0002-6360-558X"},"institutions":[{"id":"https://openalex.org/I4210148469","display_name":"Visa (United States)","ror":"https://ror.org/05t1y0b59","country_code":"US","type":"company","lineage":["https://openalex.org/I4210148469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huiyuan Chen","raw_affiliation_strings":["Visa Research, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Visa Research, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210148469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004690889","display_name":"Xin Dai","orcid":"https://orcid.org/0009-0005-6218-1737"},"institutions":[{"id":"https://openalex.org/I4210148469","display_name":"Visa (United States)","ror":"https://ror.org/05t1y0b59","country_code":"US","type":"company","lineage":["https://openalex.org/I4210148469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Dai","raw_affiliation_strings":["Visa Research, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Visa Research, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210148469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101563636","display_name":"Yan Zheng","orcid":"https://orcid.org/0000-0003-4422-9889"},"institutions":[{"id":"https://openalex.org/I4210148469","display_name":"Visa (United States)","ror":"https://ror.org/05t1y0b59","country_code":"US","type":"company","lineage":["https://openalex.org/I4210148469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Zheng","raw_affiliation_strings":["Visa Resarch, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Visa Resarch, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210148469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100669433","display_name":"Junpeng Wang","orcid":"https://orcid.org/0000-0002-1130-9914"},"institutions":[{"id":"https://openalex.org/I4210148469","display_name":"Visa (United States)","ror":"https://ror.org/05t1y0b59","country_code":"US","type":"company","lineage":["https://openalex.org/I4210148469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junpeng Wang","raw_affiliation_strings":["Visa Research, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Visa Research, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210148469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000544794","display_name":"Vivian Lai","orcid":"https://orcid.org/0000-0003-3165-6136"},"institutions":[{"id":"https://openalex.org/I4210148469","display_name":"Visa (United States)","ror":"https://ror.org/05t1y0b59","country_code":"US","type":"company","lineage":["https://openalex.org/I4210148469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vivian Lai","raw_affiliation_strings":["Visa Research, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Visa Research, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210148469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101916154","display_name":"Yujie Fan","orcid":"https://orcid.org/0000-0002-2635-9420"},"institutions":[{"id":"https://openalex.org/I4210148469","display_name":"Visa (United States)","ror":"https://ror.org/05t1y0b59","country_code":"US","type":"company","lineage":["https://openalex.org/I4210148469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yujie Fan","raw_affiliation_strings":["Visa Research, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Visa Research, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210148469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038585109","display_name":"Audrey Der","orcid":"https://orcid.org/0000-0002-9266-5864"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Audrey Der","raw_affiliation_strings":["University of California, Riverside, Riverside, CA, USA"],"affiliations":[{"raw_affiliation_string":"University of California, Riverside, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051096647","display_name":"Zhongfang Zhuang","orcid":"https://orcid.org/0000-0001-6717-5102"},"institutions":[{"id":"https://openalex.org/I4210148469","display_name":"Visa (United States)","ror":"https://ror.org/05t1y0b59","country_code":"US","type":"company","lineage":["https://openalex.org/I4210148469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhongfang Zhuang","raw_affiliation_strings":["Visa Research, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Visa Research, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210148469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100641732","display_name":"Liang Wang","orcid":"https://orcid.org/0009-0008-3881-1833"},"institutions":[{"id":"https://openalex.org/I4210148469","display_name":"Visa (United States)","ror":"https://ror.org/05t1y0b59","country_code":"US","type":"company","lineage":["https://openalex.org/I4210148469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liang Wang","raw_affiliation_strings":["Visa Research, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Visa Research, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210148469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087058248","display_name":"Wei Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148469","display_name":"Visa (United States)","ror":"https://ror.org/05t1y0b59","country_code":"US","type":"company","lineage":["https://openalex.org/I4210148469"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Visa Research, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"Visa Research, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I4210148469"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017619650","display_name":"Jeff M. Phillips","orcid":"https://orcid.org/0000-0003-1169-2965"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeff M. Phillips","raw_affiliation_strings":["University of Utah, Salt Lake City, UT, USA"],"affiliations":[{"raw_affiliation_string":"University of Utah, Salt Lake City, UT, USA","institution_ids":["https://openalex.org/I223532165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5011045620"],"corresponding_institution_ids":["https://openalex.org/I4210148469"],"apc_list":null,"apc_paid":null,"fwci":0.1981,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45759454,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"4909","last_page":"4915"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9930999875068665,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9684000015258789,"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":0.8515666723251343},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.682546854019165},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5981060862541199},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5955451726913452},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5076357126235962},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.4932681918144226},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4884904623031616},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.48456135392189026},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.47456246614456177},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4343591332435608},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2799365222454071},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15703442692756653},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15020111203193665},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13602283596992493}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8515666723251343},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.682546854019165},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5981060862541199},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5955451726913452},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5076357126235962},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.4932681918144226},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4884904623031616},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.48456135392189026},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.47456246614456177},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4343591332435608},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2799365222454071},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15703442692756653},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15020111203193665},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13602283596992493},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583780.3614655","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3614655","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3614655","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3583780.3614655","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583780.3614655","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3583780.3614655","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387848576.pdf","grobid_xml":"https://content.openalex.org/works/W4387848576.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W2037537012","https://openalex.org/W2067965111","https://openalex.org/W2081028405","https://openalex.org/W2099302229","https://openalex.org/W2110026675","https://openalex.org/W2161621125","https://openalex.org/W2194775991","https://openalex.org/W2754051771","https://openalex.org/W2809553086","https://openalex.org/W2899622384","https://openalex.org/W2913754224","https://openalex.org/W2948517885","https://openalex.org/W2963213486","https://openalex.org/W2982438846","https://openalex.org/W2988244882","https://openalex.org/W2998196302","https://openalex.org/W3006484790","https://openalex.org/W3008003211","https://openalex.org/W3022643593","https://openalex.org/W3039352388","https://openalex.org/W3042807565","https://openalex.org/W3105931142","https://openalex.org/W3177318507","https://openalex.org/W4290878309","https://openalex.org/W4296591843","https://openalex.org/W4296604568","https://openalex.org/W4385565193","https://openalex.org/W6600553734","https://openalex.org/W6776486363"],"related_works":["https://openalex.org/W2392768766","https://openalex.org/W2058118494","https://openalex.org/W2382021449","https://openalex.org/W2095118173","https://openalex.org/W2104269053","https://openalex.org/W2106424170","https://openalex.org/W1985426483","https://openalex.org/W2501188010","https://openalex.org/W4299935056","https://openalex.org/W2010935248"],"abstract_inverted_index":{"A":[0],"Content-based":[1],"Time":[2],"Series":[3],"Retrieval":[4],"(CTSR)":[5],"system":[6,11,54,86,121,138],"is":[7,87,192],"an":[8,129,146],"information":[9,75],"retrieval":[10],"for":[12,200],"users":[13,31,71,134],"to":[14,33,51,89,103,123,198],"interact":[15,135],"with":[16,63,91,136],"time":[17,41,46,61,81,92,110],"series":[18,42,47,62,93],"emerged":[19],"from":[20,95],"multiple":[21],"domains,":[22,97],"such":[23],"as":[24,48,132],"finance,":[25],"healthcare,":[26],"and":[27,55,148],"manufacturing.":[28],"For":[29],"example,":[30],"seeking":[32],"learn":[34],"more":[35,74],"about":[36,76],"the":[37,45,52,68,77,80,84,106,116,119,125,133,137,164,167,189,193],"source":[38,78],"of":[39,59,79,114,166],"a":[40,49,57,100],"can":[43,72],"submit":[44],"query":[50],"CTSR":[53,85,120,150],"retrieve":[56],"list":[58],"relevant":[60],"associated":[64],"metadata.":[65],"By":[66],"analyzing":[67],"retrieved":[69],"metadata,":[70],"gather":[73],"series.":[82,111],"Because":[83],"required":[88],"work":[90],"data":[94,203],"diverse":[96],"it":[98,176],"needs":[99],"high-capacity":[101],"model":[102,117,151,191],"effectively":[104],"measure":[105],"similarity":[107,126],"between":[108],"different":[109],"On":[112],"top":[113],"that,":[115],"within":[118],"has":[122],"compute":[124],"scores":[127],"in":[128,139,170],"efficient":[130,149],"manner":[131],"real-time.":[140],"In":[141],"this":[142],"paper,":[143],"we":[144,174],"propose":[145],"effective":[147],"that":[152,188],"outperforms":[153],"alternative":[154,178],"models,":[155],"while":[156],"still":[157],"providing":[158],"reasonable":[159],"inference":[160],"runtimes.":[161],"To":[162],"demonstrate":[163],"capability":[165],"proposed":[168,190],"method":[169],"solving":[171],"business":[172],"problems,":[173],"compare":[175],"against":[177],"models":[179],"using":[180],"our":[181,201],"in-house":[182],"transaction":[183,202],"data.":[184],"Our":[185],"findings":[186],"reveal":[187],"most":[194],"suitable":[195],"solution":[196],"compared":[197],"others":[199],"problem.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}