In this paper, we address the problem of ranking clinical documents using centrality based approach. We model the documents to be ranked as nodes in a graph and place edges between documents based on their similarity. Given a query, we compute similarity of the query with respect to every document in the graph. Based on these similarity values, documents are ranked for a given query. Initially,...

Due to the opportunities provided by the Internet, people are taking advantage of e-learning courses and during the last few years enormous research efforts have been dedicated to the development of e-learning systems. So far, many e-learning systems are proposed and used practically. However, in these systems the e-learning completion rate is low. One of the reasons is the low study desire and...

Text readability is typically defined in terms of “grade level”; the expected educational level of the reader at which the text is directed. Mechanisms for measuring readability in English documents are well established; however this is not in case in many other languages, such as syllabic alphabetic languages. In this paper seven different mechanisms for assessing the readability of syllabic a...

Aggregate ranking tasks are those where documents are not the final ranking outcome, but instead an intermediary component. For instance, in expert search, a ranking of candidate persons with relevant expertise to a query is generated after consideration of a document ranking. Many models exist for aggregate ranking tasks, however obtaining an effective and robust setting for different aggregat...

This paper provides an overview of the NTCIR-10 INTENT-2 task (the second INTENT task), which comprises the Subtopic Mining and the Document Ranking subtasks. INTENT-2 attracted participating teams from China, France, Japan and South Korea – 12 teams for Subtopic Mining and 4 teams for Document Ranking (including an organisers’ team). The Subtopic Mining subtask received 34 English runs, 23 Chi...

abstract financial and electronic debts are one of the important issues in iran's financial scope that are considered by economists due to their role in creating financial instabilities. therefore, a model was represented in this survey to evaluate and rank financial and electronic debts in iran including foreign debts, governmental debts, non-governmental debts and banking debts during th...

Information retrieval diiers signiicantly from function approximation in that the goal is for the system to achieve the same ranking function of documents relative to queries as the user: the outputs of the system relative to one another must be in the proper order. We hypothesize that a particular rank-order statistic, Guttman's point alienation, is the proper objective function for such a sys...

The FRDC team participated in the IMine task of the NTCIR11, including subtopic mining and document ranking subtasks for Chinese language. In the subtopic mining subtask, we propose two methods to build the two-level hierarchy subtopics. Our methods gain high F-score and H-score respectively. In the document ranking subtask, we adopt various features for relevant webpage retrieval and document ...

In this paper, an Eliteness Hypothesis for information retrieval is proposed, where we define two generative processes to create information items and queries. By assuming two types of deterministic relationships between the eliteness of terms and relevance, we obtain a new theoretical retrieval framework. The resulting ranking function is a unified one as it is capable of making use of availab...

nowadays, liveliness and rapid maintenance of the development process of the companies are dependent on the accurate and complete understanding of the merits of the financial activities. since these merits are relative concepts that are based on comparisons, lists of ranking and comparison of industries with each other act as useful signposts for managers, politicians, and investors. the point ...