The goal of text ranking is to generate an ordered list of texts retrieved from a corpus in
response to a query. Although the most common formulation of text ranking is search …

The general public tends to avoid reliable sources such as scientific literature due to their
complex language and lacking background knowledge. Instead, they rely on shallow and …

Abstract Open Source Intelligence (OSINT) data is collected by publicly available sources to
be used by intelligence contexts among which Threat Intelligence Platforms (TIPs) are the …

For a system-based information retrieval evaluation, test collection model still remains as a
costly task. Producing relevance judgments is an expensive, time consuming task which has …

One of the weakest points in actual security detection and monitoring systems is the data
retrieval from Open Source Intelligence (OSINT), as well as how this kind of information …

Most massive open online courses (MOOC) use simple schemes for aggregating peer
grades, taking the mean or the median, or compute weights from information other than the …

Search result diversification is one of the key techniques to cope with the ambiguous and
underspecified information needs of web users. In the last few years, strategies that are …

Full-text retrieval systems employ heuristics to match documents to user queries. Retrieval
correctness cannot, therefore, be formally proven, but must be evaluated through human …

This paper investigates improvements to the fitness function in Genetic Programming to
better solve binary classification problems with unbalanced data. Data sets are unbalanced …

Abstract We present the Entity Name System (ENS), an enabling infrastructure, which can
host descriptions of named entities and provide unique identifiers, on large-scale. In this …