Concomitant Supported Dissemination for Expert Search on Web
Gandham Sai · 2014
Expert search has been studied in various contexts. We inspect a commonexpert search problem. Piercing experts on the web, where thousands of names and millions of webpages are considered. It has two challenging issues: 1) web pages could be of full of noises and low quality2) The expertise evidences scattered in web pages are usually arises confusion. We propose to leverage the large amount of concomitant information to assess relevance and reputation of a person name for a query topic. The concomitant structure is modeled using a hyper graph, on which a heat disseminates based ranking algorithm is proposed. Query