Recent and continuing advances in online information systems are creating many opportunities and also new problems in information retrieval. Gathering the information in different natural language is the most difficult task, which often requires huge resources. Cross-language information retrieval (CLIR) is the retrieval of information for a query written in the native language. This paper deal...

 Recommender systems are a branch of retrieval systems and information matching, which through identifying the interests and requires of the user, help the users achieve the desired information or service through a massive selection of choices. In recent years, the recommender systems apply describing information in the terms of the user, such as location, time, and task, in order to produce re...

This paper focuses on developing lightweight tools for knowledge sharing and collaboration by communities of practice operating in the field of information retrieval. The paper contributes a motivating scenario, a characterization of these communities, a list of requirements for collaboration, and then a system design proposed as a proof-of-concept implementation that is being evaluated.

A major problem in information retrieval is the difficulty to define the information needs of user and on the other hand, when user offers your query there is a vast amount of information to retrieval. Different methods , therefore, have been suggested for query expansion which concerned with reconfiguring of query by increasing efficiency and improving the criterion accuracy in the information...