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Applied Recommender Systems with Python

learning for building recommender systems Who This Book Is ForData scientists, machine learning engineers, and Python;

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Applied Recommender Systems with Python

recommender systems that incorporate both content-based and collaborative filtering Leverage machine learning, NLP, and deep learning for building;

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Recommender Systems for Learning

of teaching and learning activities. Since information retrieval (in terms of searching for relevant learning resources to support teachers or;

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Active Learning for Recommender Systems

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Recommender Systems

robust product recommender systems using machine learning algorithms are helpful in filtering and exploring unseen data by users for better;

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Recommender Systems

of recommender systems, such as shilling systems, attack models, and their defenses are discussed. In addition, recent topics, such as learning 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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AI for Cars

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

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Practical Recommender Systems

Description Recommender systems are practically a necessity for keeping a site's content current, useful, and interesting to visitors;

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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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Introduction to Data Science

field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and;

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Recommender System for Online Social Network

applies recommendation systems to the online social network systems, is presented in this book. Recommender systems for social networks differ;

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Building a Recommendation System with R

build and optimize recommendation engines Who This Book Is For If you are a competent developer with some knowledge of machine learning;

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Foundations of Intelligent Systems

, recommender systems; machine learning; knowledge representation, semantic web; emotion recognition, music information retrieval; network analysis;

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Recommender Systems

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Web Information Systems Engineering - WISE 2019

topical sections: blockchain and crowdsourcing; machine learning; deep learning; recommender systems, data mining; web-based applications; entity;

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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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Advances in Computational Collective Intelligence

: data mining and machine learning; deep learning and applications for industry 4.0; recommender systems; computer vision techniques; decision;

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Collaborative Recommendations: Algorithms, Practical Challenges And Applications

Recommender systems are very popular nowadays, as both an academic research field and services provided by numerous companies for e;

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Intelligent Information and Database Systems

, technology opportunity, e-learning, and fuzzy intelligent systems; analysis for image, video and motion data in life sciences; real world;

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Intelligent Information and Database Systems

, technology opportunity, e-learning, and fuzzy intelligent systems; analysis for image, video and motion data in life sciences; real world;

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Advances in Artificial Intelligence

, reasoning, and logic; intelligent systems and environment; intelligent Web and recommender systems; machine learning and data mining; metaheuristics;

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Social Network-Based Recommender Systems

analysis and detailed summary. Social Network-Based Recommender Systems is designed as a reference for professionals and researchers working;

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Hands-On Recommendation Systems with Python

applications for social networking, news personalization or smart advertising, this is the book for you. Basic knowledge of machine learning techniques;

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Mastering Machine Learning with Python in Six Steps

), and recommender systems Review reinforcement learning and CNN Who This Book Is For Python developers, data engineers, and machine;

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Mastering Machine Learning with Python in Six Steps

reduction technique for IoT data. Finally, yoüll review advanced text mining techniques, recommender systems, neural networks, deep learning;

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Information and Recommender Systems

, knowledge or representation. In a context of steady increase in the mass of information it is difficult to know what information to look for and;

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