Retrieval systems rank documents according to their retrieval status values (RSV) if these are monotonously increasing with the probability of relevance of documents. In this work, we investigate the links between RSVs and IR system evaluation. 1 IR evaluation and relevance Kagolovsk et al [1] realised a detailed survey of main IR works on evaluation. Relevance was always the main concept for I...

In this paper, we describe the evaluation of the dialog management and response generation strategies being developed for retrieval of touristic information, selected as a common domain for the ARC AUPELF-B2 action. A large number of spoken dialog systems have been reported in the literature making use of different strategies for dialog management. Comparing and evaluating different strategies ...

information to the users. To make the search effective, a tool called search engine has been introduced. These engines crawl the web for the given users query and display the results to the user based on the relevance score (ranking). Different search engine employs different ranking algorithm. Many ranking algorithm is being introduced frequently by several researchers. Several metrics are ava...

Information Retrieval (IR) technology has grown rapidly accompanied by the development of the advanced computational power. More information is being stored as electro-magnetic forms, and anyone can access to it with a PC beyond time and space [1]. Biomedical field is no exception as you know well. Thanks to IR (i.e., PubMed search), you can easily get literature information related to your res...

Traditional recommender system evaluation focuses on raising the accuracy, or lowering the rating prediction error of the recommendation algorithm. Recently, however, discrepancies between commonly used metrics (e.g. precision, recall, root-mean-square error) and the experienced quality from the users’ have been brought to light. This project aims to address these discrepancies by attempting to...

Our system participates the evaluation task of emotion cause detection, which is a subtask of emotion cause analysis evaluation in NTCIR-13. The aim of the subtask is to find the clause that contain emotion cause, which is treated as a sequence labeling problem in our system. We employ a structural SVM tool, and build four types of features, including lexical information, distance, contexts and...

This paper describes the SoVideo broadcast news retrieval system for Mandarin Chinese. The system is based on technologies such as large-vocabulary continuous speech recognition for Mandarin Chinese, automatic story segmentation, and information retrieval. Currently, the database consists of 177 hours of broadcast news, which yields 3264 stories by automatic story segmentation. We discuss the d...

introduction: hospital information systems (hiss) are computerized systems used as electronic tools for managing patient information. usability is necessity for the success and acceptability of hiss and can enhance the quality of provided care. this study aimed to evaluate the usability of hiss in hospitals affiliated with mashhad university of medical sciences (iran). methods: this descriptive...