IEEE Style Citation: Siddhant Rele, Danish Ali Furniturewala, Sagar Raulo, Neepa Shah, “Intelligent Travel Bot using Wide and Deep Learning,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.12, pp.378-382, 2018.
MLA Style Citation: Siddhant Rele, Danish Ali Furniturewala, Sagar Raulo, Neepa Shah "Intelligent Travel Bot using Wide and Deep Learning." International Journal of Computer Sciences and Engineering 6.12 (2018): 378-382.
APA Style Citation: Siddhant Rele, Danish Ali Furniturewala, Sagar Raulo, Neepa Shah, (2018). Intelligent Travel Bot using Wide and Deep Learning. International Journal of Computer Sciences and Engineering, 6(12), 378-382.
BibTex Style Citation:
@article{Rele_2018,
author = {Siddhant Rele, Danish Ali Furniturewala, Sagar Raulo, Neepa Shah},
title = {Intelligent Travel Bot using Wide and Deep Learning},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2018},
volume = {6},
Issue = {12},
month = {12},
year = {2018},
issn = {2347-2693},
pages = {378-382},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3347},
doi = {https://doi.org/10.26438/ijcse/v6i12.378382}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i12.378382}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3347
TI - Intelligent Travel Bot using Wide and Deep Learning
T2 - International Journal of Computer Sciences and Engineering
AU - Siddhant Rele, Danish Ali Furniturewala, Sagar Raulo, Neepa Shah
PY - 2018
DA - 2018/12/31
PB - IJCSE, Indore, INDIA
SP - 378-382
IS - 12
VL - 6
SN - 2347-2693
ER -
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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.
Key-Words / Index Term
Recommender system, TensorFlow, Wide and Deep Learning, Chatbot, Hotel booking
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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