Social Information Access

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.

Autorentext

Peter Brusilovsky, University of Pittsburgh, School of Computing and Information, Pittsburgh, PA, USA

Inhalt

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.