Recommender Systems: Algorithms and Applications

ISBN-13: 9780367631857 / Angielski / Twarda / 2021 / 230 str.

P. Pavan Kumar; S. Vairachilai; Sirisha Potluri

Opis

Recommender systems use information filtering to predict user preferences. They are becoming a vital part of e-business. Recommender Systems: Algorithms and Applications dives into the theoretical underpinnings of these systems and looks at how theory is applied and implemented in actual systems.

Spis treści

Preface. Acknowledgements. Editors. List of Contributors. Chapter 1 Collaborative Filtering-based Robust Recommender System using Machine Learning Algorithms. Chapter 2 An Experimental Analysis of Community Detection Algorithms on a Temporally Evolving Dataset. Chapter 3 Why This Recommendation: Explainable Product Recommendations with Ontological Knowledge Reasoning. Chapter 4 Model-based Filtering Systems using a Latent-factor Technique. Chapter 5 Recommender Systems for the Social Networking Context for Collaborative Filtering and Content-Based Approaches. Chapter 6 Recommendation System for Risk Assessment in Requirements Engineering of Software with Tropos Goal–Risk Model. Chapter 7 A Comprehensive Overview to the Recommender System: Approaches, Algorithms and Challenges. Chapter 8 Collaborative Filtering Techniques: Algorithms and Advances. Index.