3 papers
cs.IR2024
Positive unlabeled learning for building recommender systems in a parliamentary setting
Luis M. de Camposa, Juan M. Fernández-Luna, Juan F. Huete +1
Our goal is to learn about the political interests and preferences of the Members of Parliament by mining their parliamentary activity, in order to develop a recommendation/filteri…
cs.IR2024
Automatic Construction of Multi-faceted User Profiles using Text Clustering and its Application to Expert Recommendation and Filtering Problems
Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete +1
In the information age we are living in today, not only are we interested in accessing multimedia objects such as documents, videos, etc. but also in searching for professional exp…
cs.IR2024
LDA-based Term Profiles for Expert Finding in a Political Setting
Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete +1
A common task in many political institutions (i.e. Parliament) is to find politicians who are experts in a particular field. In order to tackle this problem, the first step is to o…