Recommender Systems and Intelligent User Interfaces

In this research area we study recommendation systems, personalization and different types of adaption mechanisms (e.g. different contexts in context-aware recommendation). We pay special attention to user interfaces for deploying recommendation system algorithms, and this leads our connection with intelligent user interfaces (IUI). We also study IUI in the context of other areas, such as medical domain, tourism, scientific articles, online games, music and visual arts.

Students

Antonio Ossa, Isidora Palma, Pablo Messina, Manuel Cartagena

Collaborators

Leandro Balby Marinho (UFCG, Brasil), Christoph Trattner (University of Bergen, Norway), Katrien Verbert (KU Leuven, Belgium), Peter Brusilovsky (Univeristy of Pittsburgh, USA)

Latest publications

Algorithmic and HCI aspects for explaining recommendations of artistic images
Dominguez, Vicente, Donoso-Guzmán, Ivania, Messina, Pablo, Parra, Denis
ACM Transactions on Interactive Intelligent Systems (TiiS) 2020
Interpretable Contextual Team-aware Item Recommendation: Application in Multiplayer Online Battle Arena Games
Villa, Andrés, Araujo, Vladimir, Cattan, Francisca, Parra, Denis
In Proceedings of the 14th ACM Conference on Recommender Systems 2020
Data Mining for Item Recommendation in MOBA Games
Araujo, Vladimir, Rios, Felipe, Parra, Denis
In Proceedings of the 13th ACM Conference on Recommender Systems 2019
Recommender Systems for Online Video Game Platforms: The Case of STEAM
Cheuque, Germán, Guzmán, Jos{\'e}, Parra, Denis
In Companion Proceedings of The 2019 World Wide Web Conference 2019
Do Better ImageNet Models Transfer Better... for Image Recommendation?
Felipe del Rio, Pablo Messina, Vicente Dominguez, Denis Parra
In 2nd workshop on Intelligent Recommender Systems by Knowledge Transfer and Learning 2018
Towards Explanations for Visual Recommender Systems of Artistic Images
Vicente Dominguez, Pablo Messina, Christoph Trattner, Denis Parra
In Joint Workshop on Interfaces and Human Decision Making for Recommender Systems 2018
Content-based Artwork Recommendation: Integrating Painting Metadata with Neural and Manually-Engineered Visual Features
Messina, Pablo, Dominguez, Vicente, Parra, Denis, Trattner, Christoph, Soto, Alvaro
User Modeling and User-Adapted Interaction 2018
IntersectionExplorer, a Multi-Perspective Approach for Exploring Recommendations
Bruno Cardoso, Gayane Sedrakyan, Francisco Gutiérrez, Denis Parra, Peter Brusilovsky, Katrien Verbert
International Journal of Human-Computer Studies 2018
Moodplay: Interactive Music Recommendation based on Artists’ Mood Similarity
Andjelkovic, Ivana, Parra, Denis, O'Donovan, John
International Journal of Human-Computer Studies 2018
Investigating the utility of the weather context for point of interest recommendations
Trattner, Christoph, Oberegger, Alexander, Marinho, Leandro, Parra, Denis
Information Technology {\&} Tourism 2018
pyRecLab: A Software Library for Quick Prototyping of Recommender Systems
Sepulveda, Gabriel, Parra, Denis
In Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017) 2017
Towards a Recommender System for Undergraduate Research
del-Rio, Felipe, Parra, Denis, Kuzmicic, Jovan, Svec, Erick
In Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017) 2017
Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation
Vicente Dominguez, Pablo Messina, Denis Parra, Domingo Mery, Christoph Trattner, Alvaro Soto
In Proceedings of the Workshop on Deep Learning for Recommender Systems, co-located at RecSys 2017 2017
Moodplay: Interactive Mood-based Music Discovery andRecommendation
Andjelkovic, Ivana, Parra, Denis, O'Donovan, John
In Proceedings of the UMAP Conference 2016
Interactive recommender systems: a survey of the state of the art and future research challenges and opportunities
He, Chen, Parra, Denis, Verbert, Katrien
Expert Systems with Applications 2016
Visualization and Recommendation of Large Image and Text Collections Toward Effective Sensemaking
Yi Gu, Chaoli Wang, Jun Ma, Robert J. Nemiroff, David L. Kao, Denis Parra
Information Visualization 2016
Are Real-World Place Recommender Algorithms Useful in Virtual World Environments?
Balby Marinho, Leandro, Trattner, Christoph, Parra, Denis
In Proceedings of the 9th ACM Conference on Recommender Systems 2015
Towards Improving Top-N Recommendation by Generalization of SLIM
Larrain, Santiago, Parra, Denis, Soto, Alvaro
In Poster Proceedings of ACM RecSys 2015 2015
See What You Want to See: Visual User-Driven Approach for Hybrid Recommendation
Parra, Denis, Brusilovsky, Peter, Trattner, Christoph
In Proceedings of the 19th international conference on Intelligent User Interfaces 2014
Towards a Scalable Social Recommender Engine for Online Marketplaces: The Case of Apache Solr
Lacic, Emanuel, Kowald, Dominik, Parra, Denis, Kahr, Martin, Trattner, Christoph
In Proceedings of the 23rd International Conference on World Wide Web 2014
Utilizing Online Social Network and Location-Based Data to Recommend Items in an Online Marketplace
Lacic, Emanuel, Kowald, Dominik, Eberhard, Lukas, Trattner, Christoph, Parra, Denis, Marinho, Leandro
arXiv preprint arXiv:1405.1837 2014
Recommending Items in Social Tagging Systems Using Tag and Time Information
Lacic, Emanuel, Kowald, Dominik, Seitlinger, Paul, Trattner, Christoph, Parra, Denis
arXiv preprint arXiv:1406.7727 2014
Visualizing recommendations to support exploration, transparency and controllability
Verbert, Katrien, Parra, Denis, Brusilovsky, Peter, Duval, Erik
In Proceedings of the 2013 international conference on Intelligent user interfaces 2013
A field study of a visual controllable talk recommender
Parra, Denis, Brusilovsky, Peter
In Proceedings of the 2013 Chilean Conference on Human-Computer Interaction 2013