作者: Caio Ramos Casimiro , Ivandré Paraboni
DOI: 10.1007/978-3-319-09761-9_20
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摘要: This paper presents a simple experiment to compare content recommendation on Twitter with and without the use of temporal information. Preliminary results suggest that particular kind information extracted from corpora (namely, time frame within which user browses microblog) may lead more accurate recommendation.