Recommender systems : a multi-disciplinary approach /: a multi-disciplinary approach. (2023)

• Record Type: Book
• Further Information: Note: Edited by Monideepa Roy, Pushpendu Kar, Sujoy Datta.
• Editors: Roy, Monideepa; Kar, Pushpendu; Datta, Sujoy
• Contents: 1. Comparison of Different Machine Learning Algorithms to Classify Whether or Not a Tweet Is about a Natural Disaster: A Simulation-Based Approach Subrata Dutta, Manish Kumar, Arindam Giri, Ravi Bhusan Thakur, Sarmistha Neogy, and Keshav Dahal 2. An End-to-End Comparison among Contemporary Content-Based Recommendation Methodologies Debajyoty Banik and Mansheel Agarwal 3. Neural Network-Based Collaborative Filtering for Recommender Systems Ananya Singh and Debajyoti Banik 4. Recommendation System and Big Data: Its Types and Applications Shweta Mongia, Tapas Kumar, and Supreet Kaur 5. The Role of Machine Learning /AI in Recommender Systems N R Saturday, K T Igulu, T P Singh, and F E Onuodu 6. A Recommender System Based on TensorFlow Framework Hukum Singh Rana and T P Singh 7. A Marketing Approach to Recommender Systems K T Igulu, T P Singh, F E Onuodu, and N S Agbeb 8. Applied Statistical Analysis in Recommendation Systems Bikram Pratim Bhuyan and T P Singh 9. An IoT-Enabled Innovative Smart Parking Recommender Approach Ajanta Das and Soumya Sankar Basu 10. Classification of Road Segments in Intelligent Traffic Management System Md Ashifuddin Mondal and Zeenat Rehena 11. Facial Gestures-Based Recommender System for Evaluating Online Classes Anjali Agarwal and Ajanta Das 12. Application of Swarm Intelligence in Recommender Systems Shriya Singh, Monideepa Roy, Sujoy Datta, and Pushpendu Kar 13. Application of Machine-Learning Techniques in the Development of Neighbourhood-Based Robust Recommender Systems Swarup Chattopadhyay, Anjan Chowdhury, and Kuntal Ghosh 14. Recommendation Systems for Choosing Online Learning Resources: A Hands-On Approach Arkajit Saha, Shreya Dey, Monideepa Roy, Sujoy Datta, and Pushpendu Kar
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2023
• Extent: 1 online resource (260 pages), illustrations (black and white)
• Subjects: 025.04; Recommender systems (Information filtering)
• Languages: English
• ISBNs: 9781000886283; 9781000886269
• Related ISBNs: 9781032333212
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.