Abstract. This paper introduces an approach to address the problem of accessing conventional and geographic data from the Deep Web. The approach relies on describing the relevant d...
Helena Piccinini, Melissa Lemos, Marco A. Casanova...
This paper studies the problem of mining entity translation, specifically, mining English and Chinese name pairs. Existing efforts can be categorized into (a) a transliterationbas...
Gae-won You, Seung-won Hwang, Young-In Song, Long ...
The book covers the following topics: examining the structure of HTTP requests, monitoring the packets being transferred between a web server and web browser, executing simple HTTP...
We present an on-line learning framework tailored towards real-time learning from observed user behavior in search engines and other information retrieval systems. In particular, ...
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...
Christopher J. C. Burges, Tal Shaked, Erin Renshaw...