most citedEvaluating Information Retrieval Systems for Kids

2 citations · 4 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CY2020

A Canine Census to Influence Public Policy

Matias Apa, Maria Cecilia Faini, Mohammad Aliannejadi +1

The potential threat that domestic animals pose to the health of human populations tends to be overlooked. We posit that positive steps forward can be made in this area, via suitab…

cs.IR20202 cited

Evaluating Information Retrieval Systems for Kids

Ashlee Milton, Maria Soledad Pera

Evaluation of information retrieval systems (IRS) is a prominent topic among information retrieval researchers--mainly directed at a general population. Children require unique IRS…

cs.CL20202 cited

A Framework for Hierarchical Multilingual Machine Translation

Ion Madrazo Azpiazu, Maria Soledad Pera

Multilingual machine translation has recently been in vogue given its potential for improving machine translation performance for low-resource languages via transfer learning. Empi…

astro-ph.GA2020

Sixteen overlooked open clusters in the fourth Galactic quadrant. A combined analysis of UBVI photometry and Gaia DR2 with ASteCA

G. I. Perren, E. E. Giorgi, A. Moitinho +3

Aims: This paper has two main objectives: (1) To determine the intrinsic properties of 16 faint and mostly unstudied open clusters in the poorly known sector of the Galaxy at 270$^…

cs.IR2018

Can we leverage rating patterns from traditional users to enhance recommendations for children?

Ion Madrazo Azpiazu, Michael Green, Oghenemaro Anuyah +1

Recommender algorithms performance is often associated with the availability of sufficient historical rating data. Unfortunately, when it comes to children, this data is seldom ava…

cs.IR2018

Who is Really Affected by Fraudulent Reviews? An analysis of shilling attacks on recommender systems in real-world scenarios

Anu Shrestha, Francesca Spezzano, Maria Soledad Pera

We present the results of an initial analysis conducted on a real-life setting to quantify the effect of shilling attacks on recommender systems. We focus on both algorithm perform…