General information retrieval systems are designed to serve all users without considering individual needs. In this paper, we propose a novel approach to personalized search. It c...
Yuanhua Lv, Le Sun, Junlin Zhang, Jian-Yun Nie, Wa...
In this paper, we present a folksonomy-based approach for implicit user intent extraction during a Web search process. We present a number of result re-ranking techniques based on...
As a principled approach to capturing semantic relations of words in information retrieval, statistical translation models have been shown to outperform simple document language m...
Loosely structured heterogeneous information spaces are typically created by merging data from a variety of different applications and information sources. A common problem these...
Ekaterini Ioannou, Saket Sathe, Nicolas Bonvin, An...
The Implicit Query (IQ) prototype is a system which automatically generates context-sensitive searches based on a user’s current computing activities. In the demo, we show IQ ru...
Susan T. Dumais, Edward Cutrell, Raman Sarin, Eric...