Collaborative Recommendations - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Collaborative Recommendations write by Shlomo Berkovsky. This book was released on 2018-11-30. Collaborative Recommendations available in PDF, EPUB and Kindle. 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 Recommendations: Algorithms, Practical Challenges And Applications
Collaborative Recommendations: Algorithms, Practical Challenges And Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Collaborative Recommendations: Algorithms, Practical Challenges And Applications write by Shlomo Berkovsky. This book was released on 2018-11-30. Collaborative Recommendations: Algorithms, Practical Challenges And Applications available in PDF, EPUB and Kindle. 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.
Recommender Systems Handbook
Recommender Systems Handbook - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Recommender Systems Handbook write by Francesco Ricci. This book was released on 2015-11-17. Recommender Systems Handbook available in PDF, EPUB and Kindle. 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. A variety of real-world applications and detailed case studies are included. In addition to wholesale revision of the existing chapters, this edition includes new topics including: decision making and recommender systems, reciprocal recommender systems, recommender systems in social networks, mobile recommender systems, explanations for recommender systems, music recommender systems, cross-domain recommendations, privacy in recommender systems, and semantic-based recommender systems. This multi-disciplinary handbook involves world-wide experts from diverse fields such as artificial intelligence, human-computer interaction, information retrieval, data mining, mathematics, statistics, adaptive user interfaces, decision support systems, psychology, marketing, and consumer behavior. Theoreticians and practitioners from these fields will find this reference to be an invaluable source of ideas, methods and techniques for developing more efficient, cost-effective and accurate recommender systems.
Soft Computing for Problem Solving
Soft Computing for Problem Solving - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Soft Computing for Problem Solving write by Jagdish Chand Bansal. This book was released on 2018-10-30. Soft Computing for Problem Solving available in PDF, EPUB and Kindle. This two-volume book presents outcomes of the 7th International Conference on Soft Computing for Problem Solving, SocProS 2017. This conference is a joint technical collaboration between the Soft Computing Research Society, Liverpool Hope University (UK), the Indian Institute of Technology Roorkee, the South Asian University New Delhi and the National Institute of Technology Silchar, and brings together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to select potential future directions The book presents the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers in the areas including, but not limited to, 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 is a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.
Collaborative Filtering Recommender Systems
Collaborative Filtering Recommender Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Collaborative Filtering Recommender Systems write by Michael D. Ekstrand. This book was released on 2011. Collaborative Filtering Recommender Systems available in PDF, EPUB and Kindle. 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.
