Personalised fading for stream data

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2017

Autores

Veloso, B (Autor) Outra; Malheiro, B (Autor) Outra; Burguillo, JC (Autor) Outra; Foss, JD (Autor) Outra

Ata de Conferência Internacional

Título: Proceedings of the Symposium on Applied Computing, SAC 2017, Marrakech, Morocco, April 3-7, 2017

Páginas: 870-872

Indexação

Scopus - 11 Citações

Outras Informações

ID Authenticus: P-00M-TPA

DOI: 10.1145/3019612.3019868

Abstract (EN): This paper describes a forgetting technique for the live update of viewer profiles based on individual sliding windows, fading and incremental matrix factorization. The individual sliding window maintains, for each viewer, a queue holding the last n viewer ratings. As new viewer events occur, they are inserted in the viewer queue, by shifting and fading the queue ratings, and the viewer latent model is faded. We explored time, rating-and-position and popularity-based fading techniques, using the latter as the base fading algorithm. This approach attempts to address the problem of dynamic viewer profile updating (volatile preferences) as well as the problem of bounded processing resources (fixed size queues). The results show that our approach outperforms previous approaches, improving the quality of the predictions.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 2