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) …

The relative ineffectiveness of information retrieval systems is largely caused by the
inaccuracy with which a query formed by a few keywords models the actual user information …

Evaluation measures act as objective functions to be optimized by information retrieval
systems. Such objective functions must accurately reflect user requirements, particularly …

We introduce and create a framework for deriving probabilistic models of Information
Retrieval. The models are nonparametric models of IR obtained in the language model …

We develop a method for predicting query performance by computing the relative entropy
between a query language model and the corresponding collection language model. The …

With the advent of the Web along with the unprecedented amount of information available in
electronic format, conceptual data analysis is more useful and practical than ever, because …

As code search is a frequent developer activity in software development practices, improving
the performance of code search is a critical task. In the text retrieval based search …

Queries to search engines on the Web are usually short. They do not provide sufficient
information for an effective selection of relevant documents. Previous research has …

The inherent ambiguity of short keyword queries demands for enhanced methods for Web
retrieval. In this paper we propose to improve such Web queries by expanding them with …

Query expansion (QE) is a well-known technique used to enhance the effectiveness of
information retrieval. QE reformulates the initial query by adding similar terms that help in …