Social information access is defined as a stream of research that explores methods for organizing the past interactions of users in a community in order to provide future users with better access to information. Social information access covers a wide range of different technologies and strategies that operate on a different scale, which can range from a small closed corpus site to the whole Web.
The 16 chapters included in this book provide a broad overview of modern research on social information access. In order to provide a balanced coverage, these chapters are organized by the main types of information access (i.e., social search, social navigation, and recommendation) and main sources of social information.
Social Information Access: Definition and Classification.- Privacy in
Social Information Access.- Social Q&A.- Collaborative Information Search.-
Social Navigation.- Tag-Based Navigation and Visualization.- Social Search.-
Network-Based Social Search.- Accessing Information with Tags: Search and
Ranking.- Rating-Based Collaborative Filtering: Algorithms and Evaluation.-
Recommendations Based on Social Links.- Tag-Based Recommendation.- From
Opinions to Recommendations.- Recommending Based on Implicit Feedback.-
People Recommendation on Social Media.- Location Recommendation with Social
Media Data.
Peter Brusilovsky, University of Pittsburgh, School of Computing and Information, Pittsburgh, PA, USA
