In information retrieval, relevance is perceived as a multidimensional and dynamic concept
influenced by user, task, and domain factors. Relying on this perspective, researchers have …

Web search is widely used to find online medical advice. As such, health-related information
access requires retrieval algorithms capable of promoting reliable documents and filtering …

In this paper we study how to prioritize relevance assessments in the process of creating an
Information Retrieval test collection. A test collection consists of a set of queries, a document …

Blogs are one of the main user-generated contents on the web and are growing in number
rapidly. The characteristics of blogs require the development of specialized search methods …

A modeling methodology for blog recommendation and forecasting based on information
entropy is presented. With the increasing popularity of smartphones and the rapid …

Automatic Text Summarisation is an essential technology to cope with the overwhelming
amount of documents that are daily generated. Given an information source, such as a …

Blogs are social media that are owned by companies. Therefore, online identity building via
blogs is important from the long term point of view. Blogs allow to distribute more complex …

En este proyecto se ha abordado una hibridación entre la búsqueda global de un método
evolutivo (Evolución Diferencial) y un método de búsqueda local (Line Search), tratando de …

The large data for transportation industry demands that the data retrieval system should be
extremely efficient, timely and reliable. However, the traditional system is always difficult to …