Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
The Burden of Choice
The Burden of Choice examines how recommendations for products, media, news, romantic partners, and even cosmetic surgery operations are produced and experienced online. Fundamentally concerned with how the recommendation has come to serve as a form of control that frames a contemporary American as heteronormative, white, and well off, this book asserts that the industries that use these automated recommendations tend to ignore and obscure all other identities in the service of making the type of affluence they are selling appear commonplace. Focusing on the period from the mid-1990s to approximately 2010 (while this technology was still novel), Jonathan Cohn argues that automated recommendations and algorithms are far from natural, neutral, or benevolent. Instead, they shape and are shaped by changing conceptions of gender, sexuality, race, and class. With its cultural studies and humanities-driven methodologies focused on close readings, historical research, and qualitative analysis, The Burden of Choice models a promising avenue for the study of algorithms and culture.
Word of Mouse
Through compelling case studies, Word of Mouse maps out a broad range of strategies that companies can employ to raise revenue, customer loyalty, and satisfaction. At the vanguard of the Internet revolution are two computer scientists from Minnesota who are pioneers of Collaborative Filtering (CF). CF is a technology that enables companies to understand their customers and in turn sell products, goods, and services with remarkable success. To test CF, John Riedl and Joseph Konstan built two Internet sites, MovieLens and GroupLens, that allowed users to customize their preferences for movies and news. The results were astounding -- MovieLens demonstrated amazing accuracy, almost ensuring that the recommendation would prove enjoyable. In "Word of Mouse," the authors analyze dozens of companies from Best Buy to Amazon to TiVo -- and show what these companies are doing right -- and what they are doing wrong.
E-Commerce and Web Technologies
This book constitutes the refereed proceedings of the 5th International Conference on Electronic Commerce and Web Technologies, EC-Web 2004, held in Zaragossa, Spain in August/September 2004. The 36 revised full papers presented were carefully reviewed and selected from 103 submissions. The papers are organized in topical sections on recommender systems, databases and EC applications, service-oriented e-commerce applications, electronic negotiation systems, security and trust in e-commerce techniques for b2b e-commerce, negotiation strategies and protocols, modeling of e-commerce applications, e-commerce intelligence, e-retailing and Website design, and digital rights management and EC strategies.
User Modeling, Adaptation and Personalization
This book constitutes the proceedings of the third annual conference under the UMAP title, aptation, which resulted from the merger in 2009 of the successful biannual User Modeling (UM) and Adaptive Hypermedia (AH) conference series, held on Girona, Spain, in July 2011. The 27 long papers and 6 short papers presented together with15 doctoral consortium papers, 2 invited talks, and 3 industry panel papers were carefully reviewed and selected from 164 submissions. The tutorials and workshops were organized in topical sections on designing adaptive social applications, semantic adaptive social Web, and designing and evaluating new generation user modeling.
Encounters with HCI Pioneers
The huge success of personal computing technologies has brought astonishing benefits to individuals, families, communities, businesses, and government, transforming human life, largely for the better. These democratizing transformations happened because a small group of researchers saw the opportunities to convert sophisticated computational tools into appealing personal devices offering valued services by way of easy-to-use interfaces. Along the way, there were challenges to their agenda of human-centered design by: (1) traditional computer scientists who were focused on computation rather than people-oriented services and (2) those who sought to build anthropomorphic agents or robots based...
Providing Actionable Recommendations
Recommender systems (RS) are intended to assist consumers by making choices from a large scope of items. By recommending items with a high likelihood of suiting a consumer's needs or preferences, they are able to considerably mitigate the information overload problem at the user's side, thus increasing their trust in, satisfaction with, and loyalty to RS providers, such as online shops, internet music catalogs, and online DVD rental services. However, recommendations are prone to errors and often fail to address consumers' context specific needs. Explanations of the underlying reasons behind recommendations can allow users to handle algorithmic errors in recommendations and to better judge t...
Advances in Next Generation Services and Service Architectures
The book is intended to provide readers with a comprehensive reference for the most current developments in the field. It offers broad coverage of important topics with eighteen chapters covering both technology and applications written by international experts.
Collaborative Filtering Recommender Systems
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.
THEETAS 2022
The International Conference on Emerging Trends in Artificial Intelligence and Smart Systems (Theetas-2022) has organized by The Computer Society of India, Jabalpur Chapter and Department of Computer Science, AKS University, Satna. Artificial Intelligence has created a revolution in every aspect of human life. Techniques like machine learning, deep learning, natural language processing, robotics are applied in various domains to ease the human life. Recent years have witnessed tremendous growth of Artificial Intelligence techniques & its revolutionary applications in the emerging smart city and various automation applications. THEETAS-2022 will provide a global forum for sharing knowledge, research, and recent innovations in the field of Artificial Intelligence, Smart Systems, Machine Learning, Big Data, etc. This Conference will focus on the quality work and key experts who provide an opportunity in bringing up innovative ideas. The conference theme is specific & concise in terms to the development in the field of Artificial Intelligence & Smart Systems.
Recommender Systems for Information Providers
Information providers are a very promising application area of recommender systems due to the general problem of assessing the quality of information products prior to the purchase. Recommender systems automatically generate product recommendations: customers profit from a faster finding of relevant products, stores profit from rising sales. All aspects of recommender systems are covered: the economic background, mechanism design, a survey of systems in the Internet, statistical methods and algorithms, service oriented architectures, user interfaces, as well as experiences and data from real-world applications. Specific solutions for areas with strong privacy concerns, scalability issues for large collections of products, as well as algorithms to lessen the cold-start problem for a faster return on investment of recommender projects are addressed. This book describes all steps it takes to design, implement, and successfully operate a recommender system for a specific information platform.
