We investigate a representative case of sudden information need change of Web users. By analyzing search engine query logs, we show that the majority of queries submitted by users...
In this paper, we propose a semi-supervised learning approach for classifying program (bot) generated web search traffic from that of genuine human users. The work is motivated by...
Hongwen Kang, Kuansan Wang, David Soukal, Fritz Be...
We consider the problem of building a P2P-based search engine for massive document collections. We describe a prototype system called ODISSEA (Open DIStributed Search Engine Archi...
In this paper we study the characteristics of search queries submitted from mobile devices using various Yahoo! oneSearch applications during a 2 months period in the second half ...
Search engine advertising has become the main stream of online advertising system. In current search engine advertising systems, all users will get the same advertisement rank if t...