Recommender Systems Handbook

Recommender Systems Handbook

This third edition handbook describes in detail the classical methods as well as extensions and novel approaches that were more recently introduced within this field.

Author: Francesco Ricci

Publisher: Springer Nature

ISBN: 9781071621974

Category: Computers

Page: 1053

View: 850

This third edition handbook describes in detail the classical methods as well as extensions and novel approaches that were more recently introduced within this field. It consists of five parts: general recommendation techniques, special recommendation techniques, value and impact of recommender systems, human computer interaction, and applications. The first part presents the most popular and fundamental techniques currently used for building recommender systems, such as collaborative filtering, semantic-based methods, recommender systems based on implicit feedback, neural networks and context-aware methods. The second part of this handbook introduces more advanced recommendation techniques, such as session-based recommender systems, adversarial machine learning for recommender systems, group recommendation techniques, reciprocal recommenders systems, natural language techniques for recommender systems and cross-domain approaches to recommender systems. The third part covers a wide perspective to the evaluation of recommender systems with papers on methods for evaluating recommender systems, their value and impact, the multi-stakeholder perspective of recommender systems, the analysis of the fairness, novelty and diversity in recommender systems. The fourth part contains a few chapters on the human computer dimension of recommender systems, with research on the role of explanation, the user personality and how to effectively support individual and group decision with recommender systems. The last part focusses on application in several important areas, such as, food, music, fashion and multimedia recommendation. This informative third edition handbook provides a comprehensive, yet concise and convenient reference source to recommender systems for researchers and advanced-level students focused on computer science and data science. Professionals working in data analytics that are using recommendation and personalization techniques will also find this handbook a useful tool.
Categories: Computers

Recommender Systems Handbook

Recommender Systems Handbook

Recommender. Systems. Handbook. Francesco Ricci, Lior Rokach and Bracha Shapira Abstract Recommender Systems (RSs) are software tools and techniques providing suggestions for items to be of use to a user. In this introductory chapter we ...

Author: Francesco Ricci

Publisher: Springer Science & Business Media

ISBN: 9780387858203

Category: Computers

Page: 842

View: 694

The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious; users are overloaded by options to consider and they may not have the time or knowledge to personally evaluate these options. Recommender systems have proven to be a valuable way for online users to cope with the information overload and have become one of the most powerful and popular tools in electronic commerce. Correspondingly, various techniques for recommendation generation have been proposed. During the last decade, many of them have also been successfully deployed in commercial environments. Recommender Systems Handbook, an edited volume, 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 support systems, marketing, and consumer behavior. Theoreticians and practitioners from these fields continually seek techniques for more efficient, cost-effective and accurate recommender systems. This handbook aims to impose a degree of order on this diversity, by presenting a coherent and unified repository of recommender systems’ major concepts, theories, methodologies, trends, challenges and applications. Extensive artificial applications, a variety of real-world applications, and detailed case studies are included. Recommender Systems Handbook illustrates how this technology can support the user in decision-making, planning and purchasing processes. It works for well known corporations such as Amazon, Google, Microsoft and AT&T. This handbook is suitable for researchers and advanced-level students in computer science as a reference.
Categories: Computers

Recommender Systems

Recommender Systems

[RES 94] RESNICK P., IACOVOU N., SUCHAK M., et al., “GroupLens: an open architecture for collaborative filtering ... [RIC 11a] RICCI F., ROKACH L., SHAPIRA B., et al., Recommender Systems Handbook, Springer, Heidelberg, Germany, 2011.

Author: Gérald Kembellec

Publisher: John Wiley & Sons

ISBN: 9781848217683

Category: Computers

Page: 245

View: 107

Acclaimed by various content platforms (books, music, movies) and auction sites online, recommendation systems are key elements of digital strategies. If development was originally intended for the performance of information systems, the issues are now massively moved on logical optimization of the customer relationship, with the main objective to maximize potential sales. On the transdisciplinary approach, engines and recommender systems brings together contributions linking information science and communications, marketing, sociology, mathematics and computing. It deals with the understanding of the underlying models for recommender systems and describes their historical perspective. It also analyzes their development in the content offerings and assesses their impact on user behavior.
Categories: Computers

Group Recommender Systems

Group Recommender Systems

447–449 A. Jameson, M. Willemsen, A. Felfernig, M. de Gemmis, P. Lops, G. Semeraro, L. Chen, Human decision making and recommender systems, in Recommender Systems Handbook, 2nd edn., ed. by F. Ricci, L. Rokach, B. Shapira.

Author: Alexander Felfernig

Publisher: Springer

ISBN: 9783319750675

Category: Technology & Engineering

Page: 173

View: 729

This book presents group recommender systems, which focus on the determination of recommendations for groups of users. The authors summarize different technologies and applications of group recommender systems. They include an in-depth discussion of state-of-the-art algorithms, an overview of industrial applications, an inclusion of the aspects of decision biases in groups, and corresponding de-biasing approaches. The book includes a discussion of basic group recommendation methods, aspects of human decision making in groups, and related applications. A discussion of open research issues is included to inspire new related research. The book serves as a reference for researchers and practitioners working on group recommendation related topics.
Categories: Technology & Engineering

International Conference on Communication Computing and Electronics Systems

International Conference on Communication  Computing and Electronics Systems

Ricci F, Rokach I, Shapira B (2010)Introduction to recommender systems handbook.In: Nature S (ed) Recommender systems handbook. Bozen-Bolzano 2. Ricci F, Rokach L, Shapira B (2011) Introduction to recommender systems handbook.

Author: V. Bindhu

Publisher: Springer Nature

ISBN: 9789813349094

Category: Technology & Engineering

Page: 835

View: 266

This book includes high-quality papers presented at the International Conference on Communication, Computing and Electronics Systems 2020, held at the PPG Institute of Technology, Coimbatore, India, on 21–22 October 2020. The book covers topics such as automation, VLSI, embedded systems, integrated device technology, satellite communication, optical communication, RF communication, microwave engineering, artificial intelligence, deep learning, pattern recognition, Internet of Things, precision models, bioinformatics, and healthcare informatics.
Categories: Technology & Engineering

Proceedings of Seventh International Congress on Information and Communication Technology

Proceedings of Seventh International Congress on Information and Communication Technology

De Gemmis M, Lops P, Musto C, Narducci F, Semeraro G (2015) Semantics-aware contentbased recommender systems. In: Recommender systems handbook. Springer, pp 119–159 18. Desrosiers C, Karypis G (2011) A comprehensive survey of ...

Author: Xin-She Yang

Publisher: Springer Nature

ISBN: 9789811916106

Category: Technology & Engineering

Page: 889

View: 620

This book gathers selected high-quality research papers presented at the Seventh International Congress on Information and Communication Technology, held at Brunel University, London, on February 21–24, 2022. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The work is presented in four volumes.
Categories: Technology & Engineering

Information Systems

Information Systems

10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 6. Felfernig, A., Friedrich, G., Jannach, D., Zanker, M.: Constraint-based recommender systems. In: Ricci, F., Rokach, L., Shapira, B. (eds.) Recommender Systems Handbook, pp. 161–190.

Author: Marinos Themistocleous

Publisher: Springer

ISBN: 9783030113957

Category: Computers

Page: 562

View: 690

This book constitutes selected papers from the 15th European, Mediterranean, and Middle Eastern Conference, EMCIS 2018, held in Limassol, Cyprus, in October 2018. EMCIS is dedicated to the definition and establishment of Information Systems as a discipline of high impact for the methodical community and IS professionals, focusing on approaches that facilitate the identification of innovative research of significant relevance to the IS discipline. The 34 full and 8 short papers presented in this volume were carefully reviewed and selected from a total of 108 submissions. They were organized in topical sections named: blockchain technology and applications; big data and analytics; cloud computing; digital services and social media; e-government; healthcare information systems; IT governance; and management and organizational issues in information systems.
Categories: Computers

Complex Systems and Networks

Complex Systems and Networks

Ricci, F., Shapira, B.: Recommender Systems Handbook. Springer, Heidelberg (2011) 2. Sarwar, B., et al.: Application of dimensionality reduction in recommender system-a case study. DTIC Document (2000) 3. Ricci, F., Rokach, L., Shapira, ...

Author: Jinhu Lü

Publisher: Springer

ISBN: 9783662478240

Category: Technology & Engineering

Page: 482

View: 379

This elementary book provides some state-of-the-art research results on broad disciplinary sciences on complex networks. It presents an in-depth study with detailed description of dynamics, controls and applications of complex networks. The contents of this book can be summarized as follows. First, the dynamics of complex networks, for example, the cluster dynamic analysis by using kernel spectral methods, community detection algorithms in bipartite networks, epidemiological modeling with demographics and epidemic spreading on multi-layer networks, are studied. Second, the controls of complex networks are investigated including topics like distributed finite-time cooperative control of multi-agent systems by applying homogenous-degree and Lyapunov methods, composite finite-time containment control for disturbed second-order multi-agent systems, fractional-order observer design of multi-agent systems, chaos control and anticontrol of complex systems via Parrondos game and many more. Third, the applications of complex networks provide some applicable carriers, which show the importance of theories developed in complex networks. In particular, a general model for studying time evolution of transition networks, deflection routing in complex networks, recommender systems for social networks analysis and mining, strategy selection in networked evolutionary games, integration and methods in computational biology, are discussed in detail.
Categories: Technology & Engineering

Mobile Computing Techniques in Emerging Markets Systems Applications and Services

Mobile Computing Techniques in Emerging Markets  Systems  Applications and Services

Data Mining and Knowledge Discovery Handbook. Berlin, Heidelberg: Springer. doi:10.1007/978-0-38709823-4 Manouselis, N., & Costopoulou, C. (2007). Analysis and Classification of Multi-Criteria Recommender Systems.

Author: Kumar, A.V. Senthil

Publisher: IGI Global

ISBN: 9781466600812

Category: Technology & Engineering

Page: 376

View: 966

"This book provides the latest research and best practices in the field of mobile computing offering theoretical and pragmatic viewpoints on mobile computing"--Provided by publisher.
Categories: Technology & Engineering

Innovations in Big Data Mining and Embedded Knowledge

Innovations in Big Data Mining and Embedded Knowledge

Bates, M.J.: Toward an integrated model of information seeking and searching. New Rev. Inf. Behav. Res. 3, 1–15 (2002) 3. Ricci, F., Rokach, L., Shapira, B.: Introduction to recommender systems handbook. In: Recommender Systems Handbook ...

Author: Anna Esposito

Publisher: Springer

ISBN: 9783030159399

Category: Technology & Engineering

Page: 276

View: 744

This book addresses the usefulness of knowledge discovery through data mining. With this aim, contributors from different fields propose concrete problems and applications showing how data mining and discovering embedded knowledge from raw data can be beneficial to social organizations, domestic spheres, and ICT markets. Data mining or knowledge discovery in databases (KDD) has received increasing interest due to its focus on transforming large amounts of data into novel, valid, useful, and structured knowledge by detecting concealed patterns and relationships. The concept of knowledge is broad and speculative and has promoted epistemological debates in western philosophies. The intensified interest in knowledge management and data mining stems from the difficulty in identifying computational models able to approximate human behaviors and abilities in resolving organizational, social, and physical problems. Current ICT interfaces are not yet adequately advanced to support and simulate the abilities of physicians, teachers, assistants or housekeepers in domestic spheres. And unlike in industrial contexts where abilities are routinely applied, the domestic world is continuously changing and unpredictable. There are challenging questions in this field: Can knowledge locked in conventions, rules of conduct, common sense, ethics, emotions, laws, cultures, and experiences be mined from data? Is it acceptable for automatic systems displaying emotional behaviors to govern complex interactions based solely on the mining of large volumes of data? Discussing multidisciplinary themes, the book proposes computational models able to approximate, to a certain degree, human behaviors and abilities in resolving organizational, social, and physical problems. The innovations presented are of primary importance for: a. The academic research community b. The ICT market c. Ph.D. students and early stage researchers d. Schools, hospitals, rehabilitation and assisted-living centers e. Representatives from multimedia industries and standardization bodies
Categories: Technology & Engineering