Application of Social Computing to Collaborative Web Search

Application of Social Computing to Collaborative Web Search

Recently, e-learning has been paid much attention in the area of education. However, it is difficult for the low-achievement students to find out the key points and keywords while searching online articles. They usually cannot accurately obtain the website information even after searching for large amount of data in the Internet. Meanwhile, these low-achievement students often lack of the relat...

Web Search: Social & Collaborative

Prof. Barry Smyth is the Digital Chair of Computer Science in the of Computer Science and Informatics at University College Dublin. He is also the Director of CLARITY, the Centre for Sensor Web Technologies, a Science Foundation Ireland funded research centre that employees 100+ researchers. Barry’s research interests include artificial intelligence and recommender systems. He has published ove...

Collaborative Web Search

Most of the existing metric learning methods are accomplished by exploiting pairwise constraints over the labeled data and frequently suffer from the insufficiency of training examples. To learn a robust distance metric from few labeled examples, prior knowledge from unlabeled examples as well as the metrics previously derived from auxiliary data sets can be useful. In this paper, we propose to...

Sensemaking in Collaborative Web Search

(Web Search)shared: Social Aspects of a Collaborative, Community-Based Search Network

Collaborative Web search (CWS) is a community-based approach to Web search that supports the sharing of past result selections among a group of related searchers so as to personalize result-lists to reflect the preferences of the community as a whole. In this paper, we present the results of a recent live-user trial which demonstrates how CWS elicits high levels of participation and how the sea...