Collaboration and Reputation in Social Web Search

摘要: Recent research has highlighted the inherently collaborative nature of many Web search tasks, even though searching is not supported by mainstream engines. In this paper, we examine activity early adopters HeyStaks, a framework that designed to complement engines such as Google, Bing, and Yahoo. The utility allows users normal, using their favourite engine, while beneting from more social experience. HeyStaks supports searchers harnessing experiences others, in order enhance organic resultlists. We review some evaluation results speak practical benets collaboration context recently proposed Reader-to-Leader media analysis [11]. addition, explore idea utilising reputation model introduced McNally et al. [6] identify leaders i.e. those who are responsible for driving application.