Collaborative Recommendations: Algorithms, Practical Challenges And Applications


Book Description

Recommender systems are very popular nowadays, as both an academic research field and services provided by numerous companies for e-commerce, multimedia and Web content. Collaborative-based methods have been the focus of recommender systems research for more than two decades.The unique feature of the compendium is the technical details of collaborative recommenders. The 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 must-have title is a useful reference materials for researchers, IT professionals and those keen to incorporate recommendation technologies into their systems and services.




Collaborative Filtering Recommender Systems


Book Description

Collaborative Filtering Recommender Systems discusses a wide variety of the recommender choices available and their implications, providing both practitioners and researchers with an introduction to the important issues underlying recommenders and current best practices for addressing these issues.




Soft Computing for Problem Solving


Book Description

This two-volume book presents the outcomes of the 8th International Conference on Soft Computing for Problem Solving, SocProS 2018. This conference was a joint technical collaboration between the Soft Computing Research Society, Liverpool Hope University (UK), and Vellore Institute of Technology (India), and brought together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to select potential future directions. The book highlights the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers on algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It offers a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems that are difficult to solve using traditional methods.




The Collaborative Way


Book Description

CEO Barry Halton is beginning to think he's not cut out to carry a company from ordinary to extraordinary. After a great start-up, his second company has hit an all-too-familiar wall.Frustrated and discouraged, he runs into an old friend who introduces him to The Collaborative Way(R), a way of working together that not only builds a great place to work but also generates the competitive advantage Barry is looking for.Three years after that chance encounter, the result is a dramatic change in Barry's leadership and in the leadership throughout his company-a tremendous growth in collaboration that's moving the company forward in a powerful and inspiring way.




Collaborative Assessment


Book Description

Collaborative Assessment is designed to help all professionals who work with visually impaired students understand the impact of visual impairment on assessing students' learning potential. Written by the expert assessment team at the California School for the Blind, this book focuses on evaluating students in a variety of areas, including psychology, speech and language, orientation and mobility, and technology, and provides a framework for developing a cooperative, interactive team of professionals from a variety of disciplines to achieve accurate evaluation of the needs and strengths of students. School psychologists, speech and language pathologists, administrators, teachers, and parents will find this book invaluable. Includes helpful forms and checklists and annotated lists of assessments in each area.




The Adaptive Web


Book Description

This state-of-the-art survey provides a systematic overview of the ideas and techniques of the adaptive Web and serves as a central source of information for researchers, practitioners, and students. 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.




Co-Teaching and Other Collaborative Practices in The EFL/ESL Classroom


Book Description

Much has been written about the cognitive and academic language needs of those learning English as a new language (be it a second language in the United States or other English-speaking countries or as a foreign language in all other parts of the world). Many guidebooks and professional development materials have been produced on teacher collaboration and co-teaching for special education, inclusive classrooms. Similarly, much has been published about effective strategies teachers can use to offer more culturally and linguistically responsive instruction to their language learners. However, only a few resources are available to help general education teachers and ESL (English-as-a-second-language) specialists, or two English-as-aforeign-language (EFL) teachers (such as native and nonnative English speaking) teachers to collaborate effectively. With this volume, our goal is to offer an accessible resource, long-awaited by educators whose individual instructional practice and/or institutional paradigm shifted to a more collaborative approach to language education. Through this collection of chapters, we closely examine ESL/EFL co-teaching and other collaborative practices by (a) exploring the rationale for teacher collaboration to support ESL/EFL instruction, (b) presenting current, classroom-based, practitioner-oriented research studies and documentary accounts related to co-teaching, co-planning, co-assessing, curriculum alignment, teacher professional development, and additional collaborative practices, and (c) offering authentic teacher reflections and recommendations on collaboration and co-teaching. These three major themes are woven together throughout the entire volume, designed as a reference to both novice and experienced teachers in their endeavors to provide effective integrated, collaborative instruction for EFL or ESL learners. We also intend to help preservice and inservice ESL/EFL teachers, teacher educators, professional developers, ESL/EFL program directors, and administrators to find answers to critical questions.




Data Analysis, Machine Learning and Applications


Book Description

Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.




What's Mine Is Yours


Book Description

“Amidst a thousand tirades against the excesses and waste of consumer society, What’s Mine Is Yours offers us something genuinely new and invigorating: a way out.” —Steven Johnson, author of The Invention of Air and The Ghost Map A groundbreaking and original book, What’s Mine is Yours articulates for the first time the roots of "collaborative consumption," Rachel Botsman and Roo Roger's timely new coinage for the technology-based peer communities that are transforming the traditional landscape of business, consumerism, and the way we live. Readers captivated by Chris Anderson’s The Long Tail, Van Jones’ The Green Collar Economy or Malcolm Gladwell’s The Tipping Point will be wowed by this landmark contribution to the evolving ecology of commerce and sustainability.




Deep Learning for Coders with fastai and PyTorch


Book Description

Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala