61 citations · 114 across the 23 of their papers we have counts for
24 papers
Beyond Retrieval: Scaffolding Children's Online Learning
Diletta Micol Tobia, Hrishita Chakrabarti, Maria Soledad Pera +1
Children increasingly turn to online information access systems that are primarily designed for the mainstream population, e.g., adults, but possess a limited understanding of how…
We're Still Doing It (All) Wrong: Recommender Systems, Fifteen Years Later
Alan Said, Maria Soledad Pera, Michael D. Ekstrand
In 2011, Xavier Amatriain sounded the alarm: recommender systems research was "doing it all wrong" [1]. His critique, rooted in statistical misinterpretation and methodological sho…
Recommending With, Not For: Co-Designing Recommender Systems for Social Good
Michael D. Ekstrand, Afsaneh Razi, Aleksandra Sarcevic +3
Recommender systems are usually designed by engineers, researchers, designers, and other members of development teams. These systems are then evaluated based on goals set by the af…
Impacts of Mainstream-Driven Algorithms on Recommendations for Children Across Domains: A Reproducibility Study
Robin Ungruh, Alejandro Bellogín, Dominik Kowald +1
Children are often exposed to items curated by recommendation algorithms. Yet, research seldom considers children as a user group, and when it does, it is anchored on datasets wher…
De-centering the (Traditional) User: Multistakeholder Evaluation of Recommender Systems
Robin Burke, Gediminas Adomavicius, Toine Bogers +7
Multistakeholder recommender systems are those that account for the impacts and preferences of multiple groups of individuals, not just the end users receiving recommendations. Due…
Ah, that's the great puzzle: On the Quest of a Holistic Understanding of the Harms of Recommender Systems on Children
Robin Ungruh, Maria Soledad Pera
Children come across various media items online, many of which are selected by recommender systems (RS) primarily designed for adults. The specific nature of the content selected b…
The Unified Cluster Catalogue: towards a comprehensive and homogeneous database of stellar clusters
G. I. Perren, M. S. Pera, H. D. Navone +1
We introduce the Unified Cluster Catalogue, the largest catalogue of stellar clusters currently listing nearly 14000 objects. In this initial release it exclusively contains Milky…
A Multi-Perspective Learning to Rank Approach to Support Children's Information Seeking in the Classroom
Garrett Allen, Katherine Landau Wright, Jerry Alan Fails +2
We introduce a novel re-ranking model that aims to augment the functionality of standard search engines to support classroom search activities for children (ages 6 to 11). This mod…
Conversational Agents and Children: Let Children Learn
Casey Kennington, Jerry Alan Fails, Katherine Landau Wright +1
Using online information discovery as a case study, in this position paper we discuss the need to design, develop, and deploy (conversational) agents that can -- non-intrusively --…
Matching Consumer Fairness Objectives & Strategies for RecSys
Michael D. Ekstrand, Maria Soledad Pera
The last several years have brought a growing body of work on ensuring that recommender systems are in some sense consumer-fair -- that is, they provide comparable quality of servi…
Let's Learn from Children: Scaffolding to Enable Search as Learning in the Educational Environment
Monica Landoni, Maria Soledad Pera, Emiliana Murgia +1
In this manuscript, we argue for the need to further look at search as learning (SAL) with children as the primary stakeholders. Inspired by how children learn and considering the…
Using Conversational Artificial Intelligence to Support Children's Search in the Classroom
Garrett Allen, Jie Yang, Maria Soledad Pera +1
We present pathways of investigation regarding conversational user interfaces (CUIs) for children in the classroom. We highlight anticipated challenges to be addressed in order to…
The Impact of User Demographics and Task Types on Cross-App Mobile Search
Mohammad Aliannejadi, Fabio Crestani, Theo Huibers +3
Recent developments in the mobile app industry have resulted in various types of mobile apps, each targeting a different need and a specific audience. Consequently, users access di…
To Infinity and Beyond! Accessibility is the Future for Kids' Search Engines
Ashlee Milton, Garrett Allen, Maria Soledad Pera
Research in the area of search engines for children remains in its infancy. Seminal works have studied how children use mainstream search engines, as well as how to design and eval…
All Together Now: Teachers as Research Partners in the Design of Search Technology for the Classroom
Emiliana Murgia, Monica Landoni, Theo Huibers +1
In the classroom environment, search tools are the means for students to access Web resources. The perspectives of students, researchers, and industry practitioners lead the ongoin…
CASTing a Net: Supporting Teachers with Search Technology
Garrett Allen, Katherine Landau Wright, Jerry Alan Fails +2
Past and current research has typically focused on ensuring that search technology for the classroom serves children. In this paper, we argue for the need to broaden the research f…
pyUPMASK: an improved unsupervised clustering algorithm
M. S. Pera, G. I. Perren, A. Moitinho +2
Aims. We present pyUPMASK, an unsupervised clustering method for stellar clusters that builds upon the original UPMASK package. Its general approach makes it plausible to be applie…
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…
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…
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…
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$^…
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…
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…
Generating Exact- and Ranked Partially-Matched Answers to Questions in Advertisements
Rani Qumsiyeh, Maria S. Pera, Yiu-Kai Ng
Taking advantage of the Web, many advertisements (ads for short) websites, which aspire to increase client's transactions and thus profits, offer searching tools which allow users…