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Applied Recommender Systems with Python

as market basket analysis and content- and knowledge-based recommender systems with NLP. The authors then demonstrate techniques such as;

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Applied Recommender Systems with Python

as market basket analysis and content- and knowledge-based recommender systems with NLP. The authors then demonstrate techniques such as;

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Practical Recommender Systems

Systems goes behind the curtain to show readers how recommender systems work and, more importantly, how to create and apply them for their site;

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Recommender Systems for Learning

learners) is a pivotal activity in TEL, the deployment of recommender systems has attracted increased interest. This brief attempts to provide an;

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Recommender System for Online Social Network

recommender systems, the relation between these research areas is still unclear. An innovative idea, which enables to integrate these areas, and;

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Recommender Systems

, healthcare, manufacturing, and retail. Recommender Systems: Algorithms and Applications dives into the theoretical underpinnings of these systems and;

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Recommender Systems in Fashion and Retail

This book includes the proceedings of the second workshop on recommender systems in fashion and retail (2020), and it aims to present a;

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The Recommender Revolution

creating a different type of mass-reach media. More reliable. More convincing. More honest. Stronger. 'The Recommender Revolution' gives an ex;

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Personalization Techniques And Recommender Systems

knowledge-based recommender systems. It presents theoretic research in the context of various applications from mobile information access, marketing;

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Recommender Systems

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Recommender Systems

This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to;

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Recommender Systems

This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to;

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Recommender System for Improving Customer Loyalty

This book presents the Recommender System for Improving Customer Loyalty. New and innovative products have begun appearing from a wide;

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Recommender System for Improving Customer Loyalty

This book presents the Recommender System for Improving Customer Loyalty. New and innovative products have begun appearing from a wide;

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Emotive and personality parameters in recommender systems

The growing amount of multimedia content is making it hard for end users to find the relevant content. The goal of recommender systems;

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Social Network-Based Recommender Systems

This book introduces novel techniques and algorithms necessary to support the formation of social networks. Concepts such as link;

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Collaborative Recommendations: Algorithms, Practical Challenges And Applications

-commerce, multimedia and Web content. Collaborative-based methods have been the focus of recommender systems research for more than two decades.The;

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AI for Cars

, recommender systems and on to deep learning, all within the automobile world.;

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Building a Recommendation System with R

optimize the recommendation algorithms * Prepare and structure the data before building models * Discover different recommender systems along;

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Towards Metadata-Aware Algorithms for Recommender Systems

As recommender systems (RS) allow means of guiding consumers through the overloaded choices of products available, the recommendation;

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User Modeling, Adaptation, and Personalization

This book constitutes the refereed proceedings of the 20 th International Conference on User Modeling, Adaptation, and Personalization;

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Introduction to Data Science

parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis;

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Machine Learning with PySpark

Build machine learning models, natural language processing applications, and recommender systems with PySpark to solve various business;

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Statistical Methods for Recommender Systems

and system design. This comprehensive treatment of the statistical issues that arise in recommender systems includes detailed, in-depth;

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Web Page Recommendation Models

in order to recommend related Web pages. The Web page recommender systems studied in this monograph are categorized according to the data mining;

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Artificial Intelligence

This book constitutes the refereed proceedings of the Second CCF International Conference on Artificial Intelligence, CCF-ICAI 2019, held;

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