| 2021 | RecSys | Juggler: Multi-Stakeholder Ranking with Meta-Learning. | Tiago Cunha, Ioannis Partalas, Phong Nguyen |
| 2020 | ICDM | $\mu-\text{cf}2\text{vec}$: Representation Learning for Personalized Algorithm Selection in Recommender Systems. | Tomas Sousa Pereira, Tiago Cunha, Carlos Soares |
| 2019 | WWW | Are All Successful Communities Alike? Characterizing and Predicting the Success of Online Communities. | Tiago Cunha, David Jurgens, Chenhao Tan, Daniel M. Romero |
| 2018 | DIS | CF4CF-META: Hybrid Collaborative Filtering Algorithm Selection Framework. | Tiago Cunha, Carlos Soares, Andr C. P. L. F. de Carvalho |
| 2018 | LREC | A Multilingual Test Collection for the Semantic Search of Entity Categories. | Juliano Efson Sales, Siamak Barzegar, Wellington Franco, Bernhard Bermeitinger, Tiago Cunha, Brian Davis, Andr Freitas, Siegfried Handschuh |
| 2018 | RecSys | CF4CF: recommending collaborative filtering algorithms using collaborative filtering. | Tiago Cunha, Carlos Soares, Andr C. P. L. F. de Carvalho |
| 2018 | SAC | A label ranking approach for selecting rankings of collaborative filtering algorithms. | Tiago Cunha, Carlos Soares, Andr C. P. L. F. de Carvalho |
| 2017 | DIS | Recommending Collaborative Filtering Algorithms Using Subsampling Landmarkers. | Tiago Cunha, Carlos Soares, Andr C. P. L. F. de Carvalho |
| 2017 | RecSys | Metalearning for Context-aware Filtering: Selection of Tensor Factorization Algorithms. | Tiago Cunha, Carlos Soares, Andr C. P. L. F. de Carvalho |
| 2016 | IC3K | AToMRS: A Tool to Monitor Recommender Systems. | Andr Costa, Tiago Cunha, Carlos Soares |