Paper Info
Title
Finding the Best Source of Information by means of a Socially-enabled Search Engine.
Abstract
In the era of Web 2.0, users strongly contribute to blogs, providing their opinions and useful information about specific topics; typically, users that are interested in a topic looks for related blogs in pull mode. But social networks have become even more effective in disseminating opinions and information in push mode, because users directly receive tweets and posts. In this context, what is the best source of information ? That is, what is the best blog with useful contribution about a given topic, expressed by a non trivial user query ? Furthermore, what is the Tweeter user that sent the best contributions about a given topic ? We think that a solution to this new emerging problem is a novel class of search engines, that we can call Socially-enabled Search Engines, i.e., search engines that exploit social contributions to rank sources of information. In this paper, we present the prototype search engine we are developing: in particular, we present the main ideas, the retrieval model and the query engine of our prototype.
Year
DOI
Venue
2012
10.3233/978-1-61499-105-2-1253
ADVANCES IN KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS
DocType
Volume
ISSN
Conference
243
0922-6389
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Paolo Fosci143.54
Giuseppe Psaila2722192.45