Temporal Aspects of Content Recommendation on a Microblog Corpus

作者: Caio Ramos Casimiro , Ivandré Paraboni

DOI: 10.1007/978-3-319-09761-9_20

关键词:

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.

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