Intelligent Travel Bot using Wide and Deep Learning

Authors

  • Rele S Department of Information Technology, Dwarkadas Jivanlal Sanghvi College of Engineering,Mumbai University, Mumbai, India
  • Furniturewala DA Department of Information Technology, Dwarkadas Jivanlal Sanghvi College of Engineering,Mumbai University, Mumbai, India
  • Raulo S Department of Information Technology, Dwarkadas Jivanlal Sanghvi College of Engineering,Mumbai University, Mumbai, India
  • Shah N Department of Information Technology, Dwarkadas Jivanlal Sanghvi College of Engineering,Mumbai University, Mumbai, India

DOI:

https://doi.org/10.26438/ijcse/v6i12.378382

Keywords:

Recommender system, TensorFlow, Wide and Deep Learning, Chatbot, Hotel booking

Abstract

The usual approach of planning a trip involves a serious of tedious tasks. The manual way is to book through a travel company, which will give you an itinerary for your trip and the costs involved, another way is to book through an online website, where you can pick a place, look for hotel, book a room and then make travel arrangements to your desired destination. The process involved is time consuming and involves looking through various booking websites to find the best bang for your buck. We propose a solution which will make this process as smooth as possible through the use of an interactive travel bot deployed on social media platforms. In this travel bot, a user enters a query asking for a place to stay in a location. The travel bot then constructs a persona based on transactional history of the user, for example, hotels that the user has shown interest in previously. Using this persona and a wide and deep neural network, personalized recommendations are generated by the travel bot.

References

[1] “MyBuys study” available at https://www. digitalcommerce360.com/2009/09/03/product-recommendations-supercharge-online-conversion-rates-stu/ referred on 28/04/17

[2] “Alterra’s Marina” http://alterra.ai/ referred on 26/8/16

[3] “Hello Hipmunk” https://www.hipmunk.com/hello referred on 26/8/16

[4] Heng-Tze Cheng, Levent Koc, Jeremiah Harmsen, Tal Shaked, Tushar Chandra, Hrishi Aradhye, Glen Anderson, Greg Corrado, Wei Chai, Mustafa Ispir, Rohan Anil, Zakaria Haque, Lichan Hong, Vihan Jain, Xiaobing Liu, Hemal Shah: Google Inc.: Wide and Deep Learning for Recommender Systems

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Published

2018-12-31
CITATION
DOI: 10.26438/ijcse/v6i12.378382
Published: 2018-12-31

How to Cite

[1]
S. Rele, D. A. Furniturewala, S. Raulo, and N. Shah, “Intelligent Travel Bot using Wide and Deep Learning”, Int. J. Comp. Sci. Eng., vol. 6, no. 12, pp. 378–382, Dec. 2018.

Issue

Vol. 6 No. 12 (2018): IJCSE December Editor

Section

Review Article

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