Abstract—This paper introduces and analyzes a new approach to query suggestion. After the user issues a query q0, for every document retrieved in a certain rank range [Θ1, Θ2],...
Abstract: In this paper, we revisit our approach to construction of semanticlinguistic Feature Vectors (FVs) used to enhance Web search. These FVs are built based on domain semanti...
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...
This article presents a high-level discussion of some problems that are unique to web search engines. The goal is to raise awareness and stimulate research in these areas.
We introduce a statistical model for abbreviation disambiguation in Web search, based on analysis of Web data resources, including anchor text, click log and query log. By combini...