González R.A., Chen N., Dahanayake A. Personalized Information Retrieval and Access: Concepts, Methods, and Practices

Издательство IGI Global, 2008, -371 pp.The existence of large volumes of globally distributed information and the availability of various computing devices, many of which are mobile, present the possibility of anywhere-anytime access to information. This enables individuals and organizations to coordinate and improve their knowledge over various autonomous locations. However, the amount and nature of information can result in overload problems, in heterogeneity of formats and sources, in rapidly changing content, and in uncertain user information needs. Individuals and organizations may thus be faced with increased difficulty in finding the right information in the right format at the right time.
In an already classic paper, Imielinski and Badrinath (1994) presented the trends and challenges surrounding mobile computing, which they said held the promise of access to information anywhere and at any time. The idea was that mobile or nomadic computing was possible thanks to mobile computers having access to wireless connections to information networks, resulting in more collaborative forms of computing. What Imielinski and Badrinath presented as challenges continue to be critical issues in the development of mobile applications and information services today. They pointed at heterogeneity as a result of the massive scale of mobile environments, they mentioned the need for dynamic reconfiguration of services in response to client mobility, and they reminded us of the privacy and security implications of mobility. Consequently, they argued that mobility would have far-reaching consequences for systems design, and indeed they were right. This book finds motivation on those issues, focusing on the subject of information retrieval and access – personalization in particular.Section I Concepts
Learning Personalized Ontologies from Text: A Review on an Inherently Transdisciplinary Area
Overview of Design Options for Neighborhood-Based Collaborative Filterning Systems
Exploring Information Management Problems in the Domain of Critical Incidents
Mining for Web Personalization
Clustering Web Information Sources
Section II Methods and Practices
A Conceptual Structure for Designing Personalized Information Seeking and Retrieval Systems in Data Intensive Domains
Privacy Control Requirements for Context-Aware Mobile Services
User and Context-Aware Quality Filters Based on Web Metadata Retrieval
Personalized Content-Based Image Retrieval
Service-Oriented Architectures for Context-Aware Information Retrieval and Access
On Personalizing Web Services Using Context
Role-Based Multi-Agent Systems
Towards a Context Definition for Multi-Agent Systems