Intelligent Personal Digital Assistants and Smart Destination Platform (SDP) for Globetrotter
Travel and tourism is the leading application field in the era of 21st century. As it is not possible for the tourist to always prefer the guide book, guide or any other sources for the information of any location. Our work aims to address these challenges by proposing the algorithms
to recommend personalized travel itineraries for both individuals and group of tourist based on their interest preferences. The main approach of this recommendation system is to improvise the older existing applications by providing various analytical results. In-order to make best plans and
knowing multiple details about the unknown places is quite a difficult issue. So our recommendation system helps to solve such problems. It uses Geomatic mapping for location which is stored in cloud, also can be viewed in offline. Experimental evaluation in Flickr dataset of multiple cites
forming links between images sharing common metadata from tourist. Weather is predicted using Hadoop, also the way of travelling to communicate across different places is identified by the recommendation system. One other facility in this recommendation system consists of a translator, translates
words or sentences into native language. These patterns score found in historical data can be used for predicting the future.
Keywords: Data Science-Tool; Flickr Dataset; Geomatic Mapping; Recommendation System; Weather Forecasting
Document Type: Research Article
Affiliations: 1: Department of Computer Science and Engineering, Rajalakshmi Institute of Technology, Chennai 600124, Tamil Nadu, India 2: Department of Computer Science and Engineering, R.M.K. College of Engineering and Technology, Chennai 601206, Tamil Nadu, India
Publication date: 01 May 2020
- Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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