Apprecommender is a disruptive and innovative project that will benefit both App Store users and providers. Here you can find published scientific papers developed by our team on the various topics linked to the project.
2023
Joao Coelho, Diogo Mano, Beatriz Paula, Carlos Coutinho, João Oliveira, Ricardo Ribeiro, and Fernando Batista. Semantic similarity for mobile application recommendation under scarce user data. Engineering Applications of Artificial Intelligence, 121:105974, 2023. ISSN 0952-1976. doi: https://doi.org/10.1016/j.engappai.2023.105974. URL https://www.sciencedirect.com/science/article/pii/S0952197623001586
2022
Beatriz Paula, Joao Coelho, Diogo Mano, Carlos Coutinho, João Oliveira, Ricardo Ribeiro, and Fernando Batista. Collaborative filtering for mobile application recommendation with implicit feedback. In Proceedings of the 28th ICE/ITMC and 31st IAMOT Conference IEEE 2022, pages 1065 – 1073, 2022. ISBN 978-1-6654-8816-7. 2022.
2021
João Coelho, António Neto, Miguel Tavares, Carlos Coutinho, João Oliveira, Ricardo Ribeiro and Fernando Batista (2021) Improved Language Models for Intelligent Search of Mobile Applications. In Proceedings of the 13th International Joint Conference on Knowledge Discovery and Information Retrieval. (Rita Cucchiara, Ana Fred and Joaquim Filipe, Eds.) SCITEPRESS Science and Technology Publications, Lda, pages 225 – 232, . INSTICC – Institute for Systems and Technologies of Information, Control and Communication. (paper)
Rosária Bunga, Fernando Batista and Ricardo Ribeiro (2021) From Implicit Preferences to Ratings: Video Games Recommendation based on Collaborative Filtering. In Proceedings of the 13th International Joint Conference on Knowledge Discovery and Information Retrieval (IC3K 2021). (Rita Cucchiara, Ana Fred and Joaquim Filipe, Eds.) SCITEPRESS Science and Technology Publications, Lda, pages 209 – 216. INSTICC – Institute for Systems and Technologies of Information, Control and Communication. Winner of the Best Poster Award in KDIR 2021 (paper, poster, presentation)
João Coelho, António Neto, Miguel Tavares, Carlos Coutinho, Ricardo Ribeiro and Fernando Batista (2021) Semantic Search of Mobile Applications Using Word Embeddings. In 10th Symposium on Languages, Applications and Technologies (SLATE 2021). Dagstuhl, Germany. (Queirós, Ricardo, Pinto, Mário, Simões, Alberto, Portela, Filipe and Pereira, Maria João, Eds.) Schloss Dagstuhl — Leibniz-Zentrum für Informatik, pages 12:1-12:12. (paper)
2020
Eugénio Ribeiro, Ricardo Ribeiro, Fernando Batista, João Oliveira (2020), Using Topic Information to Improve Non-Exact Keyword-Based Search for Mobile Applications. The 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. June 15 – 19, 2020, Lisboa, Portugal
(paper, presentation)
Eugénio Ribeiro, A. S. Teixeira, Ricardo Ribeiro, David Martins de Matos (2020) Semantic frame induction through the detection of communities of verbs and their arguments. Applied Network Science 5 (2020), 69:1—69:32. (paper)
Eugénio Ribeiro, A. S. Teixeira, Ricardo Ribeiro, David Martins de Matos (2020) Semantic Frame Induction as a Community Detection Problem. In Cherifi, H., Gaito, S., Mendes, J. F., Moro, E., and Rocha, L. M., editors, Complex Networks and Their Applications VIII, pages 274–285, Cham. Springer International Publishing. (paper)
Master’s Thesis
Rosária Patrícia Firmino Bunga (2020), Sistema de Recomendação de Vídeo Jogos, Mestrado em Engenharia de Telecomunicações e Informática. Orientação: Ricardo Ribeiro e Fernando Batista. Defesa: dezembro de 2020, Iscte – Instituto Universitário de Lisboa. (Documento PT)
Submitted
Maria Ines Furtado, Fernando Batista, Ricardo Ribeiro, and João Oliveira. Multicriteria recommendation systems: an experimental analysis of serendipitous models. IEEE Access, (submitted), 2022.
Maria Ines Furtado, Ricardo Ribeiro, Fernando Batista, and João Oliveira. Assessing the importance of using playtime information, reviews, and game categorization labels in the recommendation of video games. Journal of Computer Information Systems, (submitted), 2022.