Recommender Systems - A Multi-Disciplinary Approach

This book presents a multi-disciplinary approach for development of Recommender Systems. It explains different types of pertinent algorithms with their comparative analysis, and their role for different applications including case studies. It explains Big Data behind Recommender System, making good decision support systems, etc.

Table des matières

1. Comparison of Different Machine Learning Algorithms to Classify Whether or Not a Tweet Is about a Natural Disaster: A Simulation-Based Approach; 2. An End-to-End Comparison among Contemporary Content-Based Recommendation Methodologies; 3. Neural Network-Based Collaborative Filtering for Recommender Systems; 4. Recommendation System and Big Data: Its Types and Applications; 5. The Role of Machine Learning /AI in Recommender Systems; 6. A Recommender System Based on TensorFlow Framework; 7. A Marketing Approach to Recommender Systems; 8. Applied Statistical Analysis in Recommendation Systems; 9. An IoT-Enabled Innovative Smart Parking Recommender Approach; 10. Classification of Road Segments in Intelligent Traffic Management System; 11. Facial Gestures-Based Recommender System for Evaluating Online Classes; 12. Application of Swarm Intelligence in Recommender Systems; 13. Application of Machine-Learning Techniques in the Development of Neighbourhood-Based Robust Recommender Systems; 14. Recommendation Systems for Choosing Online Learning Resources: A Hands-On Approach

A propos de l'auteur

Monideepa Roy, Pushpendu Kar, Sujoy Datta

Résumé

This book presents a multi-disciplinary approach for development of Recommender Systems. It explains different types of pertinent algorithms with their comparative analysis, and their role for different applications including case studies. It explains Big Data behind Recommender System, making good decision support systems, etc.

Détails du produit

• Auteurs: Monideepa (Kiit Deemed to Be University Roy, Monideepa Kar Roy
• Collaboration: Sujoy Datta (Editeur), Pushpendu Kar (Editeur), Monideepa Roy (Editeur)
• Edition: Taylor & Francis Ltd.
• Langues: Anglais
• Format d'édition: Livre Relié
• Sortie: 19.06.2023
• EAN: 9781032333212
• ISBN: 978-1-0-3233321-2
• Pages: 260
• Thème: Intelligent Systems
• Catégories: Sciences naturelles, médecine, informatique, technique > Informatique, ordinateurs > Informatique; Sciences sociales, droit, économie > Economie > Publicité, marketing; Software Engineering, Artificial Intelligence, COMPUTERS / Software Development & Engineering / General, COMPUTERS / Programming / Algorithms, algorithms and data structures, Artificial Intelligence (AI), Algorithms & data structures, Databases, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Database Administration & Management, Databases / Data management