Hybrid User Clustering-Based Travel Planning System for Personalized Point of Interest Recommendation

Logesh Ravi; V. Subramaniyaswamy; V. Vijayakumar; Rutvij H. Jhaveri; Jigarkumar Shah

doi:10.1007/978-981-15-9953-8_27

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Hybrid User Clustering-Based Travel Planning System for Personalized Point of Interest Recommendation

Logesh Ravi V. Subramaniyaswamy V. Vijayakumar Rutvij H. Jhaveri Jigarkumar Shah

Year: 2021 Advances in intelligent systems and computing Pages: 311-321 Publisher: Springer Nature

DOI: 10.1007/978-981-15-9953-8_27

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Keywords:

Computer science Recommender system Cluster analysis Personalization Collaborative filtering Process (computing) The Internet Data mining Point of interest Point (geometry) User satisfaction Machine learning Artificial intelligence World Wide Web Human–computer interaction

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0.86

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Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Data Management and Algorithms

Physical Sciences → Computer Science → Signal Processing

Human Mobility and Location-Based Analysis

Social Sciences → Social Sciences → Transportation

Hybrid User Clustering-Based Travel Planning System for Personalized Point of Interest Recommendation

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Citation History

Topics

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