Knowledge management (KM) comprises several processes, and one of the most important
is the knowledge sharing activities. The ability of an organization to manage its …

Text clustering is one of the most commonly used methods for detecting themes or types of
documents. Text clustering is used in many fields, but its effectiveness is still not sufficient to …

The development of information retrieval systems and natural language processing tools
has been made possible for many natural languages because of the availability of natural …

One of the main issues associated with search engines is the query–document vocabulary
mismatch problem, a long-standing problem in Information Retrieval (IR). This problem …

Internet in today's times is the daily need of people. To retrieve right information efficiently is
the constant desire. Expanding user queries by transforming some keywords to retrieve …

Query Expansion (QE) is the art of reconstructing specific queries to expand validation
presentation, especially in the data mining process in a requirement understanding …

Abstract Information retrieval is an important field that aims to provide a relevant document to
a user information need, expressed through a query. Arabic is a challenging language that …

Pseudo relevance feedback (PRF) is a powerful query expansion (QE) technique that
prepares queries using the top k pseudorelevant documents and choosing expansion …

Word embedding enhances pseudo-relevance feedback query expansion (PRFQE), but
training word embedding models needs a long time and is applied on large-size datasets …

Internet in today's times is the daily need of people. To retrieve right information efficiently is
the constant desire. Expanding user queries by transforming some keywords to retrieve …