Abstract
This paper presents a simple experiment to compare content recommendation on Twitter with and without the use of temporal information. Preliminary results suggest that the use of a particular kind of temporal information extracted from corpora (namely, the time frame within which a user browses the microblog) may lead to more accurate content recommendation.
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Ramos Casimiro, C., Paraboni, I. (2014). Temporal Aspects of Content Recommendation on a Microblog Corpus. In: Baptista, J., Mamede, N., Candeias, S., Paraboni, I., Pardo, T.A.S., Volpe Nunes, M.d.G. (eds) Computational Processing of the Portuguese Language. PROPOR 2014. Lecture Notes in Computer Science(), vol 8775. Springer, Cham. https://doi.org/10.1007/978-3-319-09761-9_20
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DOI: https://doi.org/10.1007/978-3-319-09761-9_20
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09760-2
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