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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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Published Paper Details:
Wandergram: Advancing Hybrid Location-Based Travel Recommendations with Enhanced User Rating Predictions
Authors
Dr. A. Swathi,Anusha Pullela,Neeli Sai Varshith,SingiReddy Sneha Reddy,Singarapu Ruthvik
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Keywords
Restricted Boltzmann Machines (RBMs), Collaborative Filtering, Recommender System, Location-Based Recommendation, Rating Prediction, and Feature Learning.
Abstract
The Wandergram assignment goals are to alternate how humans plan and discover vacations. It gives records and guidance to assist humans in making the most of their journey testimonies. This present-day tour website uses interactive factors and vicinity-based absolute services to provide a plethora of revel-in facts, travel tips, websites of interest, and nearby espresso stores, ingesting places, and hangout locations. Wandergram's main motive is to cater to a wide variety of user pastimes and offer customers the ability to find hidden areas, discover places, and plan extraordinary tours unexpectedly. In order to gather information about attractions while taking user preferences and behavior into account, restricted Boltzmann machines (RBMs) were employed in the study. Furthermore, we use collaborative-based filtering using K-means clustering to provide restaurants, accommodations, and an upgraded restaurant recommendation system, respectively. A chatbot that serves as a virtual travel helper is also a part of Wandergram. A chatbot that serves as a virtual travel helper is also a part of Wandergram. This integration marks the beginning of a new generation in which the tour transcends every day and will become an unforgettable journey. As Wandergram matures, it transforms how vacationers put together and revel in their trips. Wandergram ensures that each trip can be transformed into a unique experience that allows visitors to immerse themselves in the neighborhood's way of life and discover new ways. Travelers are taken on tours by Wandergram, where every interaction is specifically catered to their preferences and areas of interest. The proposed system shows an accuracy of 95%
IJCRT's Publication Details
Unique Identification Number - IJCRT2402508
Paper ID - 248408
Author type - Indian Author
Page Number(s) - e366-e381
Pubished in - Volume 12 | Issue 2 | February 2024
DOI (Digital Object Identifier) - http://doi.one/10.1729/Journal.37969
No Of Downloads - 56
Author Country - India, 500068, Hyderabad , Hyderabad , 500068, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
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Dr. A. Swathi,Anusha Pullela,Neeli Sai Varshith,SingiReddy Sneha Reddy,Singarapu Ruthvik, "Wandergram: Advancing Hybrid Location-Based Travel Recommendations with Enhanced User Rating Predictions", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 2, pp.e366-e381, February 2024, Available at :http://www.ijcrt.org/papers/IJCRT2402508.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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