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Recommender Systems: Algorithms and their Applications
The book includes a thorough examination of the many types of algorithms for recommender systems, as well as a comparative analysis of them. It...
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Approaches and algorithms to mitigate cold start problems in recommender systems: a systematic literature review
Cold Start problems in recommender systems pose various challenges in the adoption and use of recommender systems, especially for new item uptake and...
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Exploring and mitigating gender bias in book recommender systems with explicit feedback
Recommender systems are indispensable because they influence our day-to-day behavior and decisions by giving us personalized suggestions. Services...
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A survey on popularity bias in recommender systems
Recommender systems help people find relevant content in a personalized way. One main promise of such systems is that they are able to increase the...
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Recent advances and future challenges in federated recommender systems
Recommender systems are an integral part of modern-day user experience. They understand their preferences and support them in discovering meaningful...
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Recommender Systems Frontiers and Practices
This book starts from the classic recommendation algorithms, introduces readers to the basic principles and main concepts of the traditional...
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A hybrid semantic recommender system based on an improved clustering
A recommender system is a model that automatically recommends some meaningful cases (such as clips/films/goods/items) to the...
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Session-aware recommender system using double deep reinforcement learning
Session-aware recommender systems capture user-specific preferences that emerge within multiple user sessions by leveraging the sequential nature of...
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Data science for next-generation recommender systems
Data science has been the foundation of recommender systems for a long time. Over the past few decades, various recommender systems have been...
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A hybrid semantic recommender system enriched with an imputation method
Recommender systems are widely used in many applications. They can be viewed as the predictor systems that are to suggest accurate and highly...
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A new improved KNN-based recommender system
Despite all the developments in recommender systems and utilizations of successful application models in the industry, it can be said that there is...
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Sports recommender systems: overview and research directions
Sports recommender systems receive an increasing attention due to their potential of fostering healthy living, improving personal well-being, and...
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Overview of Recommender Systems
This chapter first introduces the history of the recommender system and the revolutionary changes in the field of recommender systems. Then, this...
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A Systematic Literature Review of Food Recommender Systems
The enormous variations in food choices and lifestyle in today’s world have given rise to the demand of using recommender system as a suitable tool...
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Link prediction approach to recommender systems
The problem of recommender system is very popular with myriad available solutions. Recommender systems recommend items to users and help them in...
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Study of AI-Driven Fashion Recommender Systems
The rising diversity, volume, and pace of fashion manufacturing pose a considerable challenge in the fashion industry, making it difficult for...
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Securing recommender system via cooperative training
Recommender systems are often susceptible to well-crafted fake profiles, leading to biased recommendations. Among existing defense methods,...
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Proximal policy optimization based hybrid recommender systems for large scale recommendations
Recommender systems have become increasingly popular due to the significant rise in digital information over the internet in recent users. They help...
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Practical Recommender System
This chapter focuses on some problems and considerations in industry applications of recommender systems, and discusses the details of these actual...
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Recommender Systems in Cybersecurity
With the growth of CyberTerrorism, enterprises worldwide have been struggling to stop intruders from obtaining private data. Despite the efforts made...
