About the Book Practical Recommender Systems explains how recommender systems work and shows how to create and apply them for your site. How to deal with uncertainty is a subject of much controversy in Artificial Intelligence. This volume brings together a wide range of perspectives on uncertainty, many of the contributors being the principal proponents in the controversy. Recommender systems automate some of these strategies with the goal of providing affordable, personal, and high-quality recommendations. This book offers an overview of approaches to developing state-of-the-art recommender systems. This monograph provides a comprehensive research review of intelligent techniques for personalisation of e-learning systems. Found inside – Page 57In this section we introduce our system architecture and explain the strategies for delegating requests to the best-suited recommender algorithm. This book collects, structures and formalizes knowledge on recommendation systems in software engineering. It adopts a pragmatic approach with an explicit focus on system design, implementation, and evaluation. Found insideSummary Mahout in Action is a hands-on introduction to machine learning with Apache Mahout. Following real-world examples, the book presents practical use cases and then illustrates how Mahout can be applied to solve them. Found inside – Page 86First, having enough data available for recommendation algorithms to produce ... choose the (currently) best recommendation algorithm for the user at hand. Collaborative Filtering Recommender Systems provides both practitioners and researchers with an introduction to the important issues underlying recommenders and current best practices for addressing these issues. If this is your first exposure to data science, you may want to spend a few hours to read my first book Machine Learning for Absolute Beginners before you get started here.Topics covered in this book: Setting Up A Sandbox Environment With ... Found insideThis book includes extended versions of selected works presented at the 52nd Annual Convention of Computer Society of India (CSI 2017), held at Science City, Kolkata on 19–21 January 2018. Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets. In the tradition of Phil Knight's Shoe Dog comes the incredible untold story of how Netflix went from concept to company - all revealed by co-founder and first CEO Marc Randolph. Found inside – Page iiThe LNCS volume 9192 constitutes the refereed proceedings of the Second International Conference on Learning and Collaboration Technologies, LCT 2015, held as part of the 17th International Conference on Human-Computer Interaction, HCII ... Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn ... Found insideThis comprehensive treatment of the statistical issues that arise in recommender systems includes detailed, in-depth discussions of current state-of-the-art methods such as adaptive sequential designs (multi-armed bandit methods), bilinear ... Found inside – Page 372By blending the score from an algorithms with 1/|Ui | we can promote items ... To generate a top 10 recommendation list, this algorithm first picks the top ... Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. The 25th Anniversary ebook, now with more than 50 images. 'Touching the Void' is the tale of two mountaineer’s harrowing ordeal in the Peruvian Andes. Lee Smolin offers a new theory of the universe that is at once elegant, comprehensive, and radically different from anything proposed before. Found insideThe two-volume set LNBIP 353 and 354 constitutes the proceedings of the 22nd International Conference on Business Information Systems, BIS 2019, held in Seville, Spain, in June 2019. In the vein of Free Will, this book presents the essential information while revealing the author's point of view. About the Book Practical Recommender Systems explains how recommender systems work and shows how to create and apply them for your site. In this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. Found insideThis volume is mainly designed for professional audience, composed of researchers and practitioners in academia and industry. With Hands-On Recommendation Systems with Python, learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web Key Features ... An astonishing novel that seizes the heart, and sets age-old conflicts against modern life. All the Living has the timeless quality of a parable, evoking a time and place with such beauty and power that it is unforgettable. She was trying desperately not to panic, but lately her sleep had been filled with nightmares, and she had awakened each morning with a feeling of impending doom. Thus begins Sidney Sheldon's chilling new novel, Tell Me Your Dreams. The Booker Prize-winning contemporary morality tale—cleverly disguised as a comic novel—from the acclaimed author of Atonement. Found insideNever be lost for words with this perfect reference book for young readers and writers. With more than four thousand words, Children's Illustrated Thesaurus has everything a child needs to develop their vocabulary. The definitive book on mining the Web from the preeminent authority. Found insideAt a UN General Assembly Special Session in 1999, governments recognised unsafe abortion as a major public health concern, and pledged their commitment to reduce the need for abortion through expanded and improved family planning services, ... The volume constitutes a comprehensive and carefully planned collection of chapters that map out the most important areas of the adaptive Web, each solicited from the experts and leaders in the field. Found inside – Page 374... which shows that the recommendation algorithm has a low loss. ... the hybrid recommendation algorithm has the best recommendation effect. Approachable for all levels of expertise, this report explains innovations that make machine learning practical for business production settings—and demonstrates how even a small-scale development team can design an effective large-scale ... Found inside – Page 227Moreover our system applies recommendation threshold instead of N-best in hybrid ... Section 3 describes the recommendation algorithm and the reason we use ... This second edition of a well-received text, with 20 new chapters, presents a coherent and unified repository of recommender systems’ major concepts, theories, methodologies, trends, and challenges. This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their previous searches or purchases. This book starts with a brief summary of the recommendation problem and its challenges and a review of some widely used techniques Next, we introduce and discuss probabilistic approaches for modeling preference data. These technologies have become central to the largest, most prestigious tech employers out there, and by understanding how they work, you'll become very valuable to them.This book is adapted from Frank's popular online course published by ... Found insideThis book is a multi-disciplinary effort that involves world-wide experts from diverse fields, such as artificial intelligence, human computer interaction, information technology, data mining, statistics, adaptive user interfaces, decision ... Found insideFinally, you will learn to implement all the concepts you have learned throughout the book to build a recommender system. Style and approach This is a step-by-step guide that will take you through a series of core tasks. This book explains: Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, ... Most of the entries in this preeminent work include useful literature references. Found insideThe International Conference on Computational Science (ICCS 2004) held in Krak ́ ow, Poland, June 6–9, 2004, was a follow-up to the highly successful ICCS 2003 held at two locations, in Melbourne, Australia and St. Petersburg, Russia; ... Understand your data and user preferences to make intelligent, accurate, and profitable decisionsAbout This Book- A step-by-step guide to building recommendation engines that are personalized, scalable, and real time- Get to grips with the ... Found insideAs one of the first of its kind, this book presents an introduction to e-learning systems, data mining concepts and the interaction between both areas. Found inside – Page 478Extensive research in recommender systems has taken place usually in aspects ... developers to identify which is the best recommendation algorithm to use ... This intense new novel follows a middle-aged man as he contends with a past he has never much thought about—until his closest childhood friends return with a vengeance, one of them from the grave, another maddeningly present. Found insideThe book chapters include algorithm implementations, elaborate on practical issues faced when deploying these algorithms in large-scale systems, describe various optimizations and decisions made, and list parameters of the algorithms.This ... The Booker Prize-winning contemporary morality tale—cleverly disguised as a comic novel—from the acclaimed author of Atonement view. 'Touching the Void ' is the tale of two mountaineer ’ s harrowing ordeal in the Peruvian Andes harrowing in... 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