Basic requirements to keep in mind for an ideal agent-based web information retrieval system in ubiquitous environments. - Andrea Barraza-Urbina; Angela Carrillo Ramos (iiWAS, 2010)

Key design considerations for recommendation systems. - Andrea Barraza-Urbina; Angela Carrillo Ramos (iiWAS, 2011)

Vizier: a generic and multidimensional agent-based recommendation framework. - Andrea Barraza-Urbina; Angela Carrillo Ramos (iiWAS, 2011)

Personalized Services for Commercial Establishments using PlaSerEs. - David Marin Díaz; Alejandro Rico Zuluaga; Angela Carrillo Ramos; María Paula Arias-Báez; Andrea Barraza-Urbina (J. Mobile Multimedia, 2011)

Vizier: un sistema de recomendación genérico y multidimensional. - Andrea Barraza-Urbina; Angela Carrillo Ramos (Rev. Avances en Sistemas Informática, 2011)

Zudiet: un sistema que genera patrones alimenticios personalizados y adaptados. - Luisa Fernanda Barrera; Angela Carrillo Ramos; Andrea Barraza-Urbina; Saúl Martínez Rubio (Rev. Avances en Sistemas Informática, 2011)

UWIRS-REC: integrating web information retrieval with recommendation services. - Andrea Barraza-Urbina; Angela Carrillo Ramos (Int. J. Web Inf. Syst., 2012)

SADINA: Adaptive System for Academic News Dissemination. - Andrea Barraza-Urbina; Ricardo Rugeles; Angela Carrillo Ramos (iiWAS, 2013)

XPLODIV: An Exploitation-Exploration Aware Diversification Approach for Recommender Systems. - Andrea Barraza-Urbina; Benjamin Heitmann; Conor Hayes; Angela Carrillo Ramos (FLAIRS, 2015)

Achieving Software Reuse and Integration in a Large-scale Software Development Company: Practical Experience of the Lion Project. - María Consuelo Franky; Jaime A. Pavlich-Mariscal; Leonardo Giral; Andrea Barraza-Urbina; Luisa Fernanda Barrera; Angee Zambrano (ACM SIGSOFT Softw. Eng. Notes, 2015)

The Exploration-Exploitation Trade-off in Interactive Recommender Systems. - Andrea Barraza-Urbina (RecSys, 2017)

Towards Sharing Task Environments to Support Reproducible Evaluations of Interactive Recommender Systems. - Andrea Barraza-Urbina; Mathieu d'Aquin (CoRR, 2019)

Introduction to Bandits in Recommender Systems. - Andrea Barraza-Urbina; Dorota Glowacka (RecSys, 2020)

Towards Creating a Standardized Collection of Simple and Targeted Experiments to Analyze Core Aspects of the Recommender Systems Problem. - Andrea Barraza-Urbina (CoRR, 2021)

Metric@CustomerN: Evaluating Metrics at a Customer Level in E-Commerce. - Mayank Singh 017; Emily Ray; Marc Ferradou; Andrea Barraza-Urbina (EvalRS@KDD, 2023)