{"id":"https://openalex.org/W3137608938","doi":"https://doi.org/10.1145/3448748.3448989","title":"A Big Data Platform Tourism Price Strategy Method with Map/Reduce","display_name":"A Big Data Platform Tourism Price Strategy Method with Map/Reduce","publication_year":2021,"publication_date":"2021-01-22","ids":{"openalex":"https://openalex.org/W3137608938","doi":"https://doi.org/10.1145/3448748.3448989","mag":"3137608938"},"language":"en","primary_location":{"id":"doi:10.1145/3448748.3448989","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448748.3448989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","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/A5074760095","display_name":"Haiyan Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120057","display_name":"Guangzhou Building Materials Institute","ror":"https://ror.org/02vg9gp47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210120057"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haiyan Lv","raw_affiliation_strings":["GUANGZHOU CITY CONSTRUCTION COLLEGE Guangdong Guangzhou"],"affiliations":[{"raw_affiliation_string":"GUANGZHOU CITY CONSTRUCTION COLLEGE Guangdong Guangzhou","institution_ids":["https://openalex.org/I4210120057"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438095","display_name":"Zhiqiang Li","orcid":"https://orcid.org/0009-0001-8561-6327"},"institutions":[{"id":"https://openalex.org/I4210120057","display_name":"Guangzhou Building Materials Institute","ror":"https://ror.org/02vg9gp47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210120057"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Li","raw_affiliation_strings":["GUANGZHOU CITY CONSTRUCTION COLLEGE Guangdong Guangzhou"],"affiliations":[{"raw_affiliation_string":"GUANGZHOU CITY CONSTRUCTION COLLEGE Guangdong Guangzhou","institution_ids":["https://openalex.org/I4210120057"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063393303","display_name":"Baoqiang Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120057","display_name":"Guangzhou Building Materials Institute","ror":"https://ror.org/02vg9gp47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210120057"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoqiang Wen","raw_affiliation_strings":["GUANGZHOU CITY CONSTRUCTION COLLEGE Guangdong Guangzhou"],"affiliations":[{"raw_affiliation_string":"GUANGZHOU CITY CONSTRUCTION COLLEGE Guangdong Guangzhou","institution_ids":["https://openalex.org/I4210120057"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005818917","display_name":"Chauan Wan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120057","display_name":"Guangzhou Building Materials Institute","ror":"https://ror.org/02vg9gp47","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210120057"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chauan Wan","raw_affiliation_strings":["GUANGZHOU CITY CONSTRUCTION COLLEGE Guangdong Guangzhou"],"affiliations":[{"raw_affiliation_string":"GUANGZHOU CITY CONSTRUCTION COLLEGE Guangdong Guangzhou","institution_ids":["https://openalex.org/I4210120057"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074760095"],"corresponding_institution_ids":["https://openalex.org/I4210120057"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03474141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"159","last_page":"167"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14139","display_name":"E-commerce and Technology Innovations","score":0.7067000269889832,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T14139","display_name":"E-commerce and Technology Innovations","score":0.7067000269889832,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.6761999726295471,"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/T10055","display_name":"Diverse Aspects of Tourism Research","score":0.6344000101089478,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7281786203384399},{"id":"https://openalex.org/keywords/tourism","display_name":"Tourism","score":0.6992157101631165},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6481871604919434},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6343053579330444},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5535908341407776},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5168331265449524},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.4292721152305603},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3687148690223694},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.20034706592559814},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.12667012214660645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7281786203384399},{"id":"https://openalex.org/C18918823","wikidata":"https://www.wikidata.org/wiki/Q49389","display_name":"Tourism","level":2,"score":0.6992157101631165},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6481871604919434},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6343053579330444},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5535908341407776},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5168331265449524},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.4292721152305603},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3687148690223694},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20034706592559814},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.12667012214660645},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3448748.3448989","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448748.3448989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2944923154"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W4244478748","https://openalex.org/W4233347783","https://openalex.org/W2910064364","https://openalex.org/W4255224757"],"abstract_inverted_index":{"The":[0,23,105],"Google":[1],"Hadoop":[2,12],"platform":[3,75],"Map/Reduce":[4],"task":[5],"scheduling":[6],"and":[7,20,38,69,88,114,135,142],"distribution":[8,54],"mechanism":[9],"of":[10,34,109],"the":[11,32,40,46,51,58,61,73,97,102,120,130],"distributed":[13],"computing":[14,19],"framework":[15],"applied":[16],"to":[17,50,85,101,138,151],"cloud":[18,74],"big":[21],"data.":[22],"Quartz":[24],"open":[25],"source":[26],"job":[27],"scheduler":[28],"regularly":[29],"crawls":[30],"into":[31],"websites":[33],"different":[35],"tourist":[36,41,67,82,94,133,136],"attractions,":[37,95],"stores":[39],"attractions":[42,68,134],"prices":[43],"calculated":[44],"by":[45],"price":[47,76,90,106],"comparison":[48,77,91,107],"algorithm":[49],"Database":[52],"HBase":[53],"Computing":[55],"System.":[56],"When":[57],"user":[59],"enters":[60],"planned":[62],"departure":[63,65],"place,":[64],"date,":[66],"other":[70],"specific":[71],"conditions,":[72],"strategy":[78,108],"system":[79],"will":[80],"display":[81],"routes":[83,137],"according":[84],"certain":[86],"logic,":[87],"generate":[89],"data":[92],"for":[93,125,146],"from":[96],"travel":[98,103,122],"start":[99],"point":[100],"destination.":[104],"clothing,":[110],"food,":[111],"housing,":[112],"transportation":[113],"consumption":[115],"generates":[116],"cost":[117],"prices,":[118],"recommends":[119],"best":[121],"planning":[123],"plan":[124],"customers,":[126],"helps":[127],"users":[128],"choose":[129],"most":[131],"economical":[132],"make":[139],"quick":[140],"choices,":[141],"obtain":[143],"satisfactory":[144],"returns":[145],"short":[147],"vacations":[148],"or":[149],"holidays":[150],"avoid":[152],"delay":[153],"in":[154],"decision-making":[155],"time.":[156]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}