{"id":"https://openalex.org/W4386702488","doi":"https://doi.org/10.1145/3594300.3594303","title":"Forecasting dining times in a full-service Thai hotpot restaurant Using Random Forest Classifier","display_name":"Forecasting dining times in a full-service Thai hotpot restaurant Using Random Forest Classifier","publication_year":2023,"publication_date":"2023-04-07","ids":{"openalex":"https://openalex.org/W4386702488","doi":"https://doi.org/10.1145/3594300.3594303"},"language":"en","primary_location":{"id":"doi:10.1145/3594300.3594303","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3594300.3594303","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3594300.3594303","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 8th International Conference on Mathematics and Artificial Intelligence","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/10.1145/3594300.3594303","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032492124","display_name":"Pongjit Kongnim","orcid":"https://orcid.org/0009-0003-7132-4205"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Pongjit Kongnim","raw_affiliation_strings":["Technopreneurship and Innovation Management Program, Chulalongkorn University, Thailand"],"raw_orcid":"https://orcid.org/0009-0003-7132-4205","affiliations":[{"raw_affiliation_string":"Technopreneurship and Innovation Management Program, Chulalongkorn University, Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018940753","display_name":"Nagul Cooharojananone","orcid":"https://orcid.org/0000-0003-4023-5165"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Nagul Cooharojananone","raw_affiliation_strings":["Mathematics and Computer Science, Chulalongkorn University, Thailand"],"raw_orcid":"https://orcid.org/0000-0003-4023-5165","affiliations":[{"raw_affiliation_string":"Mathematics and Computer Science, Chulalongkorn University, Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029855231","display_name":"Thira Chavarnakul","orcid":"https://orcid.org/0000-0002-2993-1525"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Thira Chavarnakul","raw_affiliation_strings":["Commerce Chulalongkorn Business School, Chulalongkorn University, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-2993-1525","affiliations":[{"raw_affiliation_string":"Commerce Chulalongkorn Business School, Chulalongkorn University, Thailand","institution_ids":["https://openalex.org/I158708052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158708052"],"apc_list":null,"apc_paid":null,"fwci":0.1111,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.40330333,"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":"13","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14319","display_name":"Currency Recognition and Detection","score":0.9186999797821045,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9186999797821045,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9157000184059143,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/random-forest","display_name":"Random forest","score":0.7522106170654297},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.655239462852478},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.4445534646511078},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.43417754769325256},{"id":"https://openalex.org/keywords/service-quality","display_name":"Service quality","score":0.4222533702850342},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4156706929206848},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3484184443950653},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34547048807144165},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3388826251029968},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.3259401321411133},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.2687457203865051},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16710329055786133},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1573658585548401},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10955804586410522}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7522106170654297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.655239462852478},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4445534646511078},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.43417754769325256},{"id":"https://openalex.org/C140781008","wikidata":"https://www.wikidata.org/wiki/Q1221081","display_name":"Service quality","level":3,"score":0.4222533702850342},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4156706929206848},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3484184443950653},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34547048807144165},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3388826251029968},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.3259401321411133},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2687457203865051},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16710329055786133},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1573658585548401},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10955804586410522},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3594300.3594303","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3594300.3594303","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3594300.3594303","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 8th International Conference on Mathematics and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3594300.3594303","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3594300.3594303","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3594300.3594303","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 8th International Conference on Mathematics and Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386702488.pdf","grobid_xml":"https://content.openalex.org/works/W4386702488.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1680797894","https://openalex.org/W1901616594","https://openalex.org/W2077355029","https://openalex.org/W2789699400","https://openalex.org/W2911964244","https://openalex.org/W2921365672","https://openalex.org/W2990460313","https://openalex.org/W3000093770","https://openalex.org/W3030169527","https://openalex.org/W3043962231","https://openalex.org/W3087012786","https://openalex.org/W3181404101","https://openalex.org/W3186427171","https://openalex.org/W4200209450","https://openalex.org/W4280591992","https://openalex.org/W4292387596","https://openalex.org/W4400134761","https://openalex.org/W6600060069"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W3135126032","https://openalex.org/W1924178503","https://openalex.org/W4308716060","https://openalex.org/W4280648719","https://openalex.org/W4386937079","https://openalex.org/W2901774584"],"abstract_inverted_index":{"In":[0,29],"the":[1,23,52,77,79,83,87,90,93,96,101,105,110,117,126,137,156,159],"foodservice":[2],"industry,":[3],"time":[4,94],"is":[5,18],"a":[6,36,57,63,99,130,146],"crucial":[7],"factor":[8],"that":[9,73],"impacts":[10],"both":[11],"consumers":[12],"and":[13,92,109,144],"management.":[14],"Machine":[15],"learning":[16],"(ML)":[17],"increasingly":[19],"used":[20,75],"to":[21,34],"improve":[22],"quality":[24],"of":[25,56,81,85,89,95,104,116,120,149,158],"services":[26],"through":[27],"prediction.":[28],"this":[30,121],"study,":[31],"we":[32,74],"aim":[33],"develop":[35],"model":[37,106,160],"for":[38,165],"predicting":[39],"meal":[40],"duration":[41],"using":[42],"Random":[43],"Forest":[44],"Classification":[45],"algorithm.":[46],"The":[47,71,114],"study":[48,153],"uses":[49],"data":[50],"from":[51],"Point-of-Sale":[53],"(POS)":[54],"system":[55,128],"full-service":[58],"Thai":[59],"hotpot":[60],"restaurant,":[61],"with":[62,125,162],"focus":[64],"on":[65],"two":[66],"commercial":[67],"areas":[68],"in":[69,123,129,139],"Bangkok.":[70],"variables":[72],"include":[76],"branch,":[78],"number":[80,84],"customers,":[82],"items,":[86],"day":[88],"week,":[91],"day.":[97],"As":[98],"result,":[100],"overall":[102],"accuracy":[103],"was":[107,112],"86%":[108],"F1-score":[111],"0.81.":[113],"discussion":[115],"potential":[118],"use":[119],"approach":[122],"connection":[124],"existing":[127],"restaurant":[131,138],"could":[132],"also":[133],"be":[134],"beneficial,":[135],"aiding":[136],"planning":[140],"management":[141],"more":[142],"efficiently":[143],"gaining":[145],"better":[147],"understanding":[148],"consumer":[150],"behavior.":[151],"This":[152],"will":[154],"discuss":[155],"results":[157],"along":[161],"additional":[163],"perspectives":[164],"future":[166],"work.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
