Chapter

Next Generation Data Technologies for Collective Computational Intelligence

Volume 352 of the series Studies in Computational Intelligence pp 113-135

Trust-Based Techniques for Collective Intelligence in Social Search Systems

  • Pierpaolo DondioAffiliated withDepartment of Computer Science and Statistics, Trinity College Dublin
  • , Luca LongoAffiliated withDepartment of Computer Science and Statistics, Trinity College Dublin

* Final gross prices may vary according to local VAT.

Get Access

Abstract

A key-issue for the effectiveness of collaborative decision support systems is the problem of the trustworthiness of the entities involved in the process. Trust has been always used by humans as a form of collective intelligence to support effective decision making process. Computational trust models are becoming now a popular technique across many applications such as cloud computing, p2p networks, wikis, e-commerce sites, social network. The chapter provides an overview of the current landscape of computational models of trust and reputation, and it presents an experimental study case in the domain of social search, where we show how trust techniques can be applied to enhance the quality of social search engine predictions.