Hazra Imran

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The explosive growth of the World Wide Web is making it difficult for a user to locate information that is relevant to his/her interest. Though existing search engines work well to a certain extent but they still face problems like word mismatch which arises because the majority of information retrieval systems compare query and document terms on lexical(More)
Query difficulty prediction aims to identify, in advance, how reliably an information retrieval system will perform when faced with a particular user request. The prediction of query difficulty level is an interesting and important issue in Information Retrieval (IR) and is still an open research. In order to appreciate importance of query difficulty(More)
Automatic Query expansion is a well-known method to improve the performance of information retrieval systems. In this paper, we consider methods to extract the candidate terms for automatic query expansion, based on co-occurrence information from psuedo relevant documents. The objective of the paper is: to present to user different ways of selecting and(More)
Learning management systems (LMS) are typically used by large educational institutions and focus on supporting instructors in managing and administrating online courses. However, such LMS typically use a “one size fits all” approach without considering individual learner’s profile. A learner’s profile can, for example, consists of his/her learning styles,(More)
Uncontrolled stormwater runoff not only creates drainage problems and flash floods but also presents a considerable threat to water quality and the environment. These problems can, to a large extent, be reduced by a type of stormwater management approach employing permeable pavement systems (PPS) in urban, industrial and commercial areas, where frequent(More)
Learner-centered education becomes more and more popular. One way of offering learner-centered education is to have assignments where learners can select from a pool of learning tasks with different difficulty levels (e.g., many easy tasks, few challenging tasks, etc.). However, a problem that learners can face in such assignments is to select the tasks(More)
Personalization in learning management systems (LMS) occurs when such systems tailor the learning experience of learners such that it fits to their profiles, which helps in increasing their performance within the course and the quality of learning. A learner's profile can, for example, consist of his/her learning styles, goals, existing knowledge, ability(More)