REINFORCEMENT LEARNING FOR WEBSITE ERGONOMICS

• Main Authors: Delahaye, Thierry, Renaudie, David
• Format: Patent
• Language: English
• Published: 07.10.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

Computer-implemented systems and methods for dynamically building and adapting a search website hosted by a webserver. A learning module is coupled to the webserver and employs a reinforcement learning model for controlling appearance and/or functionality of the search website by generating actions to be output to the webserver. The actions relate to controlling an order of elements in an ordered list of travel recommendations obtained as a result from a search request to be displayed by the search website and/or arranging web-site controls on the search website. The reinforcement learning module receives rewards that are generated by the search website based on user input on the search website or by a website user simulator in response to one or more of the actions generated by the learning module based on state information provided by the user simulator. The rewards make the learning module to adapt the learning model.