This paper focuses on analyzing and predicting not-answered questions in Community based Question Answering (CQA) services, such as Yahoo! Answers. In CQA, users express their information needs by submitting questions and await answers from other users. One of the key problems of this pattern is that sometimes no one helps to give answers. In this paper, we analyze the not-answered questions an...

In the Information Society of the new millennium, the use of Information and Communication Technology (ICT) is becoming essential for the rapid dissemination of information. In this context, Open and Distance Learning (ODL) will have a growing role in effectively training people to have active roles in society. However, modern learners have a variety of backgrounds, with respect to knowledge, s...

The key for providing a robust context for personalized information retrieval is to build a library which gathers the long term and the short term user’s interests and then using it in the retrieval process in order to deliver results that better meet the user’s information needs. In this paper, we present an enhanced approach for learning a semantic representation of the underlying user’s inte...

In this paper we describe the application of our methods to humanitarian information extraction from tweets and their performance in the scope of the SMERP 2017 Data Challenge task. Detecting and extracting the (scarce) relevant information from tweet collections as precisely, completely, and rapidly as possible is of the utmost importance during natural disasters and other emergency events. We...

many medical universitiesaround the world have donestunning changes in the recent years.some of these changes have been performed with the support of international organizations.they changed the traditionaltrainingprograms based on teacher- centered learning and disciplined approach to the educational course based on community needs responsivity and student-centered learning. this process is ai...