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· 분류 : 외국도서 > 컴퓨터 > 인공지능(AI)
· ISBN : 9780367631857
· 쪽수 : 248쪽
목차
Chapter 1. Collaborative Filtering Based Robust Recommender System Using Machine Learning Algorithms Utkarsh Pravind, Palak Porwal, Abhaya Kumar Sahoo, and Chittaranjan Pradhan Chapter 2. An Experimental Analysis of Community Detection Algorithms on a Temporally Evolving Data Set B.S.A.S.Rajita, Mrinalini Shukla, Deepa Kumai, and Subhrakanta Panda Chapter 3. Why-This Recommendation? Explainable Product Recommendations with Ontological Knowledge Reasoning K. Vidya, Dr. Teja Santosh, and Dr.Sridevi Gutta Chapter 4. Model-based Filtering Systems using a Latent-Factor TechniqueAleena Mishra, Mahendra Kumar Gourisaria, Palak Gupta, Sudhansu Shekhar Patra, and Lalbihari Barik Chapter 5. Recommender Systems for the Social Networking Context for Collaborative Filtering and Content-Based ApproachesR S M Lakshmi Patibandla, V. Lakshman Narayana, Arepalli Peda Gopi, and B. Tarakeswara Rao Chapter 6. Recommendation System for Risk Assessment in Requirements Engineering of Software with Tropos: A Goal-Risk ModelDr. G. Ramesh, Dr. P. Dileep Kumar Reddy, and Dr. J. Somasekar Chapter 7. A Comprehensive Overview to the Recommender System: Approaches, Algorithms, and ChallengesR.Bhuvanya and M.Kavitha Chapter 8. Collaborative Filtering Techniques: Algorithms and AdvancementsPallavi Mishra