Social Web Artifacts For Boosting Recommenders


Social Web Artifacts For Boosting Recommenders
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Social Web Artifacts For Boosting Recommenders


Social Web Artifacts For Boosting Recommenders
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Author : Cai-Nicolas Ziegler
language : en
Publisher:
Release Date : 2013-05-31

Social Web Artifacts For Boosting Recommenders written by Cai-Nicolas Ziegler and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-31 with categories.




Social Web Artifacts For Boosting Recommenders


Social Web Artifacts For Boosting Recommenders
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Author : Cai-Nicolas Ziegler
language : en
Publisher: Springer
Release Date : 2013-04-23

Social Web Artifacts For Boosting Recommenders written by Cai-Nicolas Ziegler and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-23 with Technology & Engineering categories.


Recommender systems, software programs that learn from human behavior and make predictions of what products we are expected to appreciate and purchase, have become an integral part of our everyday life. They proliferate across electronic commerce around the globe and exist for virtually all sorts of consumable goods, such as books, movies, music, or clothes. At the same time, a new evolution on the Web has started to take shape, commonly known as the “Web 2.0” or the “Social Web”: Consumer-generated media has become rife, social networks have emerged and are pulling significant shares of Web traffic. In line with these developments, novel information and knowledge artifacts have become readily available on the Web, created by the collective effort of millions of people. This textbook presents approaches to exploit the new Social Web fountain of knowledge, zeroing in first and foremost on two of those information artifacts, namely classification taxonomies and trust networks. These two are used to improve the performance of product-focused recommender systems: While classification taxonomies are appropriate means to fight the sparsity problem prevalent in many productive recommender systems, interpersonal trust ties – when used as proxies for interest similarity – are able to mitigate the recommenders' scalability problem.



Computational Science And Its Applications Iccsa 2014


Computational Science And Its Applications Iccsa 2014
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Author : Beniamino Murgante
language : en
Publisher: Springer
Release Date : 2014-07-02

Computational Science And Its Applications Iccsa 2014 written by Beniamino Murgante and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-02 with Computers categories.


The six-volume set LNCS 8579-8584 constitutes the refereed proceedings of the 14th International Conference on Computational Science and Its Applications, ICCSA 2014, held in Guimarães, Portugal, in June/July 2014. The 347 revised papers presented in 30 workshops and a special track were carefully reviewed and selected from 1167. The 289 papers presented in the workshops cover various areas in computational science ranging from computational science technologies to specific areas of computational science such as computational geometry and security.



E Learning Systems


E Learning Systems
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Author : Aleksandra Klašnja-Milićević
language : en
Publisher: Springer
Release Date : 2016-07-19

E Learning Systems written by Aleksandra Klašnja-Milićević and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-19 with Technology & Engineering categories.


This monograph provides a comprehensive research review of intelligent techniques for personalisation of e-learning systems. Special emphasis is given to intelligent tutoring systems as a particular class of e-learning systems, which support and improve the learning and teaching of domain-specific knowledge. A new approach to perform effective personalization based on Semantic web technologies achieved in a tutoring system is presented. This approach incorporates a recommender system based on collaborative tagging techniques that adapts to the interests and level of students' knowledge. These innovations are important contributions of this monograph. Theoretical models and techniques are illustrated on a real personalised tutoring system for teaching Java programming language. The monograph is directed to, students and researchers interested in the e-learning and personalization techniques.



Recommender Systems For The Social Web


Recommender Systems For The Social Web
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Author : José J. Pazos Arias
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-01-24

Recommender Systems For The Social Web written by José J. Pazos Arias and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-24 with Technology & Engineering categories.


The recommendation of products, content and services cannot be considered newly born, although its widespread application is still in full swing. While its growing success in numerous sectors, the progress of the Social Web has revolutionized the architecture of participation and relationship in the Web, making it necessary to restate recommendation and reconciling it with Collaborative Tagging, as the popularization of authoring in the Web, and Social Networking, as the translation of personal relationships to the Web. Precisely, the convergence of recommendation with the above Social Web pillars is what motivates this book, which has collected contributions from well-known experts in the academy and the industry to provide a broader view of the problems that Social Recommenders might face with. If recommender systems have proven their key role in facilitating the user access to resources on the Web, when sharing resources has become social, it is natural for recommendation strategies in the Social Web era take into account the users’ point of view and the relationships among users to calculate their predictions. This book aims to help readers to discover and understand the interplay among legal issues such as privacy; technical aspects such as interoperability and scalability; and social aspects such as the influence of affinity, trust, reputation and likeness, when the goal is to offer recommendations that are truly useful to both the user and the provider.



Social Informatics


Social Informatics
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Author : Leonard Bolc
language : en
Publisher: Springer
Release Date : 2010-10-11

Social Informatics written by Leonard Bolc and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-11 with Computers categories.


Annotation The 17 revised full papers presented were reviewed and selected from numerous submissions and feature both the theoretical social network analysis and its practical applications for social recommendation as well as social aspects of virtual collaboration.



Agent And Web Service Technologies In Virtual Enterprises


Agent And Web Service Technologies In Virtual Enterprises
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Author : Protogeros, Nicolaos
language : en
Publisher: IGI Global
Release Date : 2007-07-31

Agent And Web Service Technologies In Virtual Enterprises written by Protogeros, Nicolaos and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-31 with Computers categories.


Provides a comprehensive review of the most recent advances in agent and Web service technologies. Provides an integrated view of the most recent contributions that support formation, integration, collaboration, and operation in virtual enterprise. Presents examples of applications of these technologies throughout various aspects of the virtual enterprise life cycle.



Recommender Systems Handbook


Recommender Systems Handbook
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Author : Francesco Ricci
language : en
Publisher: Springer Nature
Release Date : 2022-04-21

Recommender Systems Handbook written by Francesco Ricci and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-21 with Computers categories.


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.



Tourism Informatics Visual Travel Recommender Systems Social Communities And User Interface Design


Tourism Informatics Visual Travel Recommender Systems Social Communities And User Interface Design
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Author : Sharda, Nalin
language : en
Publisher: IGI Global
Release Date : 2009-09-30

Tourism Informatics Visual Travel Recommender Systems Social Communities And User Interface Design written by Sharda, Nalin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-30 with Computers categories.


"This book presents innovative research being conducted into Travel Recommender Systems, travel related on-line communities, and their user interface design"--Provided by publisher.



Managing Requirements Knowledge


Managing Requirements Knowledge
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Author : Walid Maalej
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-03

Managing Requirements Knowledge written by Walid Maalej and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-03 with Computers categories.


Requirements engineering is one of the most complex and at the same time most crucial aspects of software engineering. It typically involves different stakeholders with different backgrounds. Constant changes in both the problem and the solution domain make the work of the stakeholders extremely dynamic. New problems are discovered, additional information is needed, alternative solutions are proposed, several options are evaluated, and new hands-on experience is gained on a daily basis. The knowledge needed to define and implement requirements is immense, often interdisciplinary and constantly expanding. It typically includes engineering, management and collaboration information, as well as psychological aspects and best practices. This book discusses systematic means for managing requirements knowledge and its owners as valuable assets. It focuses on potentials and benefits of “lightweight,” modern knowledge technologies such as semantic Wikis, machine learning, and recommender systems applied to requirements engineering. The 17 chapters are authored by some of the most renowned researchers in the field, distilling the discussions held over the last five years at the MARK workshop series. They present novel ideas, emerging methodologies, frameworks, tools and key industrial experience in capturing, representing, sharing, and reusing knowledge in requirements engineering. While the book primarily addresses researchers and graduate students, practitioners will also benefit from the reports and approaches presented in this comprehensive work.