Travel Route Recommendation System using user Keyword Search
Ashishika Singh1, S. Babu2
1Ashishika Singh, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
2S. Babu, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 30, 2020. | PP: 2052-2056 | Volume-8 Issue-6, March 2020. | Retrieval Number: F7275038620/2020©BEIESP | DOI: 10.35940/ijrte.E7275.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Travel and tourism is a field, which have been growing substantially over the past few decades. The competitiveness in marketing and need of fulfilling customer experience in travel have given many opportunities for today’s technological advancements to play a crucial role in it. Those technology aspects are Big Data and Data Mining. Data Mining uses technologies of statistics, mathematics, machine learning and artificial intelligence. It aims to classify original, valid, useful, potentially and understand correlations and patterns. Data mining with the help of Big Data – Hadoop can help analyze and derive information, which can increase the growth of industry and give accurate suggestion to customer. The reason of combining capabilities of Hadoop is it can handle all sorts of data such as Structured or Unstructured. The main objective of this project also revolves around the same principle giving the best Customer Experience. By combining the power of Data Analytics of data mining, Big Data and programming capabilities of Java, this project focuses on building a customer centric Keyword Aware Travel Route Framework.”
Keywords: Travel and Tourism, Big Data, Hadoop Data Mining, Structured Data, Unstructured Data LBSN, Keyword aware travel route.”
Scope of the Article: Data Mining.