Hybrid machine learning techniques for travel recommendations-Reference-Cited by-同舟云学术

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Hybrid machine learning techniques for travel recommendations

Published:2023-12-15 Issue: Volume:19 Page:240-245
ISSN:
Container-title:2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)
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Author:

Mishra Adarsh¹,Jain Dhyanendra¹,Shukla Vibhav²,Singh Manvendra³,Maurya Shivansh²,Verma Dhiraj Kumar¹

Affiliation:

1. ABES Engineering College,Dept. of CSE-AIML,Ghaziabad,India

2. IMS Engineering College,Dept. of CSE,Ghaziabad,India

3. KIET Group of Institutions,Dept. of CS,Ghaziabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10541113/10541309/10541426.pdf?arnumber=10541426

Reference26 articles.

1. Intelligent Travel Recommendation System by Mining Attributes from Community Contributed Photos

2. Recommender Systems

3. Hybrid Recommendation Algorithm Based on Latent Factor Model and Personal Rank;Hu;Journal of Internet Technology,2018

4. An extensive study on the evolution of context-aware personalized travel recommender systems

5. Survey on Collaborative Filtering, Content-based Filtering and Hybrid Recommendation System

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