Search Results for author: Ricardo Baeza-Yates

Found 14 papers, 2 papers with code

Social AI and the Challenges of the Human-AI Ecosystem

no code implementations23 Jun 2023 Dino Pedreschi, Luca Pappalardo, Ricardo Baeza-Yates, Albert-Laszlo Barabasi, Frank Dignum, Virginia Dignum, Tina Eliassi-Rad, Fosca Giannotti, Janos Kertesz, Alistair Knott, Yannis Ioannidis, Paul Lukowicz, Andrea Passarella, Alex Sandy Pentland, John Shawe-Taylor, Alessandro Vespignani

In order to understand the impact of AI on socio-technical systems and design next-generation AIs that team with humans to help overcome societal problems rather than exacerbate them, we propose to build the foundations of Social AI at the intersection of Complex Systems, Network Science and AI.

Fair multilingual vandalism detection system for Wikipedia

1 code implementation2 Jun 2023 Mykola Trokhymovych, Muniza Aslam, Ai-Jou Chou, Ricardo Baeza-Yates, Diego Saez-Trumper

This paper presents a novel design of the system aimed at supporting the Wikipedia community in addressing vandalism on the platform.

Feature Engineering Language Modelling +1

Uncovering Bias in Personal Informatics

no code implementations27 Mar 2023 Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali, Ricardo Baeza-Yates

Personal informatics (PI) systems, powered by smartphones and wearables, enable people to lead healthier lifestyles by providing meaningful and actionable insights that break down barriers between users and their health information.

Quality-Efficiency Trade-offs in Machine Learning for Text Processing

no code implementations7 Nov 2017 Ricardo Baeza-Yates, Zeinab Liaghat

We attempt to answer these questions in a general way for text processing tasks, considering the trade-offs involving training data size, learning time, and quality obtained.

BIG-bench Machine Learning Document Classification +5

FA*IR: A Fair Top-k Ranking Algorithm

2 code implementations20 Jun 2017 Meike Zehlike, Francesco Bonchi, Carlos Castillo, Sara Hajian, Mohamed Megahed, Ricardo Baeza-Yates

In this work, we define and solve the Fair Top-k Ranking problem, in which we want to determine a subset of k candidates from a large pool of n >> k candidates, maximizing utility (i. e., select the "best" candidates) subject to group fairness criteria.

Fairness

Scalable Semantic Matching of Queries to Ads in Sponsored Search Advertising

no code implementations7 Jul 2016 Mihajlo Grbovic, Nemanja Djuric, Vladan Radosavljevic, Fabrizio Silvestri, Ricardo Baeza-Yates, Andrew Feng, Erik Ordentlich, Lee Yang, Gavin Owens

For this reason search engines often provide a service of advanced matching, which automatically finds additional relevant queries for advertisers to bid on.

CASSAurus: A Resource of Simpler Spanish Synonyms

no code implementations LREC 2016 Ricardo Baeza-Yates, Luz Rello, Julia Dembowski

In this work we introduce and describe a language resource composed of lists of simpler synonyms for Spanish.

Lexical Simplification

Visual Congruent Ads for Image Search

no code implementations21 Apr 2016 Yannis Kalantidis, Ayman Farahat, Lyndon Kennedy, Ricardo Baeza-Yates, David A. Shamma

The quality of user experience online is affected by the relevance and placement of advertisements.

Image Retrieval

DysList: An Annotated Resource of Dyslexic Errors

no code implementations LREC 2014 Luz Rello, Ricardo Baeza-Yates, Joaquim Llisterri

We introduce a language resource for Spanish, DysList, composed of a list of unique errors extracted from a collection of texts written by people with dyslexia.

Reading Comprehension

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