Guerra-Montenegro, JuanSanchez-Medina, JavierLaña, IbaiSanchez-Rodriguez, DavidAlonso-Gonzalez, ItziarDel Ser, Javier2024-07-242024-07-242021-04Guerra-Montenegro , J , Sanchez-Medina , J , Laña , I , Sanchez-Rodriguez , D , Alonso-Gonzalez , I & Del Ser , J 2021 , ' Computational Intelligence in the hospitality industry : A systematic literature review and a prospect of challenges ' , Applied Soft Computing Journal , vol. 102 , 107082 . https://doi.org/10.1016/j.asoc.2021.1070821568-4946https://hdl.handle.net/11556/3387Publisher Copyright: © 2021 Elsevier B.V.This research work presents a detailed survey about Computational Intelligence (CI) applied to various Hotel and Travel Industry areas. Currently, the hospitality industry's interest in data science is growing exponentially because of their expected margin of profit growth. In order to provide precise state of the art content, this survey analyzes more than 160 research works from which a detailed categorization and taxonomy have been produced. We have studied the different approaches on the various forecasting methods and subareas where CI is currently being used. This research work also shows an actual distribution of these research efforts in order to enhance the understanding of the reader about this topic and to highlight unexploited research niches. A set of guidelines and recommendations for future research areas and promising applications are also presented in a final section.enginfo:eu-repo/semantics/openAccessjournal article10.1016/j.asoc.2021.107082Computational IntelligenceHospitality and tourism managementHotel industryMachine LearningPredictive analysisTravel industrySoftwareSDG 12 - Responsible Consumption and Productionhttp://www.scopus.com/inward/record.url?scp=85100214715&partnerID=8YFLogxK