Personalised fading for stream data

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

Veloso, B (Author) Other; Malheiro, B (Author) Other; Burguillo, JC (Author) Other; Foss, JD (Author) Other

Conference proceedings International

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

Pages: 870-872

Indexing

Scopus - 11 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 2