With the ever increasing size of the web, relevant information extraction on the Internet with
a query formed by a few keywords has become a big challenge. Query Expansion (QE) …

Around trillions of data are uploaded to the internet every year. Extracting useful information
using only a few keywords has become a major challenge. The field of Query Reformulation …

Abstract Information Retrieval system retrieves relevant documents from large datasets.
Automatic Query Expansion (AQE) is one of the approaches to enhance IR performance by …

Weak semantic techniques rely on the integration of Semantic Web techniques with social
annotations and aim to embrace the strengths of both. In this article, we propose a novel …

Pseudo relevance feedback-based query expansion is a popular automatic query
expansion technique. However, a survey of work done in the area shows that it has a mixed …

Increasing size of web leads to relevant information extraction by traditional and last query
expansion methods not to be efficient and encounter an essential challenge. Therefore, to …

In this paper we describe the participation of InfoLab in the patient-centred information
retrieval task of the CLEF eHealth 2016 lab. We analyse the performance of several query …

Query expansion is a method for improving retrieval performance by supplementing an
original query with additional terms. This process improves the quality of search engine …

The query submitted by the user is only a partial and often ambiguous expression of his
need. This implies that it is essential to suggest to the users the most related queries to the …

In the paper we use two query expansion models, Kullback-Liebler Divergence (KLD) model
and parameter-free Bose-Einstein statistics-based (Bo1) model, to improve effectiveness of …