Using Big Data in E-tourism Mobile Recommender Systems: a Project Approach

This paper describes main modern tendencies for the design and development of e-tourism recommender systems with big data analytics. This study is an attempt to systematize and summarize knowledge about the possibilities of using e-tourism big data in mobile e-tourism recommender systems. In particular, to analyze the sources and types of tourist data generated by the tourist gadget, that can be related to e-tourism big data. This research focuses on the first stage of the project lifecycle for creating a mobile recommender system using e-tourism big data to filter those that best meet the interests of a particular user. Some solutions have been designed and methodological tools analyzed for more efficient use of various types of etourism big data from a user's gadget to be operated by a recommender system. In this study, big data for the e-tourism industry will be considered not only as a set of approaches, tools and methods for processing structured and unstructured touristic data of huge volumes.