Improved Tourism Recommendation System

Author:

Pu Zihao1,Du Hongyu1,Yu Sizhe1,Feng Duanyu1

Affiliation:

1. College of Mathematics Sichuan University, Chengdu

Funder

the National Key R&D Program of China

Publisher

ACM

Reference22 articles.

1. Active Recommendation Method Based Mobile Network Using Book Management Application

2. Recommendations Based on Purchase Patterns

3. Recommendations of Personal Web Pages Based on User Navigational Patterns

4. Design of Yunnan Tourism Recommendation System Based on Scenic Spot Content [J];Liu Guangwei;Science & Technology Economics Guide

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1. To Analyze the Various Machine Learning Algorithms That Can Effectively Process Large Volumes of Data and Extract Relevant Information for Personalized Travel Recommendations;SN Computer Science;2024-03-27

2. A Novel Personalized Business Recommendation Analysis Method Based on Big Data Intelligence;2023 2nd International Conference on Artificial Intelligence and Autonomous Robot Systems (AIARS);2023-07

3. Application of Content-Base Recommendation Algorithms on Mobile Travel Applications;2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC);2023-01-23

4. Applying Big Data Technologies in Tourism Industry: A Conceptual Analysis;Tourism, Travel, and Hospitality in a Smart and Sustainable World;2023

5. Knowledge-aware Graph Attention Network with Distributed & Cross Learning for Collaborative Recommendation;2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2022-12

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