Social Information Access (eBook, PDF)

Systems and Technologies
Redaktion: Brusilovsky, Peter; He, Daqing

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 655
• Erscheinungstermin: 2. Mai 2018
• Englisch
• ISBN-13: 9783319900926
• Artikelnr.: 52517707

Autorenporträt

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

Inhaltsangabe

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.