The Scott Identification Guide to U.S. Stamps
The Scott Identification Guide to U.S. Stamps

Author: Charles N. Micarelli

Publisher: Scott Publishing Company

Published: 2006-01-01

Total Pages: 162

ISBN-13: 9780894873720

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The Scott Identification Guide of US Regular Issue Stamps 1847-1934, is an all-new edition of a popular favorite. Author Charles Micarelli has made extensive revisions to include new information based on the latest research and discoveries. The book is designed to help collectors identify and distinguish the subtle differences in early U.S. issues. Each of the nine illuminating chapters covers a specific series of U.S. issues. Stamp illustrations are now in color. All key points necessary for identification are presented through expanded, easy to read charts and illustrations. Armed with right information there are treasures to be discovered.

Proceedings of International Conference on Frontiers in Computing and Systems
Proceedings of International Conference on Frontiers in Computing and Systems

Author: Debotosh Bhattacharjee

Publisher: Springer Nature

Published: 2020-11-23

Total Pages: 895

ISBN-13: 9811578346

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This book gathers outstanding research papers presented at the International Conference on Frontiers in Computing and Systems (COMSYS 2020), held on January 13–15, 2019 at Jalpaiguri Government Engineering College, West Bengal, India and jointly organized by the Department of Computer Science & Engineering and Department of Electronics & Communication Engineering. The book presents the latest research and results in various fields of machine learning, computational intelligence, VLSI, networks and systems, computational biology, and security, making it a rich source of reference material for academia and industry alike.

Recommender Systems Handbook
Recommender Systems Handbook

Author: Francesco Ricci

Publisher: Springer

Published: 2015-11-17

Total Pages: 1008

ISBN-13: 148997637X

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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.

Recommendation Systems in Software Engineering
Recommendation Systems in Software Engineering

Author: Martin P. Robillard

Publisher: Springer Science & Business

Published: 2014-04-30

Total Pages: 560

ISBN-13: 3642451357

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With the growth of public and private data stores and the emergence of off-the-shelf data-mining technology, recommendation systems have emerged that specifically address the unique challenges of navigating and interpreting software engineering data. 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. The book is divided into three parts: “Part I – Techniques” introduces basics for building recommenders in software engineering, including techniques for collecting and processing software engineering data, but also for presenting recommendations to users as part of their workflow. “Part II – Evaluation” summarizes methods and experimental designs for evaluating recommendations in software engineering. “Part III – Applications” describes needs, issues and solution concepts involved in entire recommendation systems for specific software engineering tasks, focusing on the engineering insights required to make effective recommendations. The book is complemented by the webpage rsse.org/book, which includes free supplemental materials for readers of this book and anyone interested in recommendation systems in software engineering, including lecture slides, data sets, source code, and an overview of people, groups, papers and tools with regard to recommendation systems in software engineering. The book is particularly well-suited for graduate students and researchers building new recommendation systems for software engineering applications or in other high-tech fields. It may also serve as the basis for graduate courses on recommendation systems, applied data mining or software engineering. Software engineering practitioners developing recommendation systems or similar applications with predictive functionality will also benefit from the broad spectrum of topics covered.

Psychology-informed Recommender Systems
Psychology-informed Recommender Systems

Author: Elisabeth Lex

Publisher:

Published: 2021-07-15

Total Pages: 122

ISBN-13: 9781680838442

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This survey presents a thorough review of the state of the art of recommender systems that leverage psychological constructs and theories to model and predict user behavior and improve the recommendation process - so-called psychology-informed recommender systems.