Temporal Aspects of Content Recommendation on a Microblog Corpus

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 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.