In this paper, we examine whether a user’s tweets can help to a generate more serendipitous recommendations. In addition, we investigate whether the use of diversification applied on a list of recommended items further improves serendipity. To this end, we conduct an experiment with n= 22 subjects. The result of our experiment shows that the subject’s tweets did not improve serendipity, but diversification results in more serendipitous recommendations.
CITATION STYLE
Nishioka, C., Hauk, J., & Scherp, A. (2019). Towards Serendipitous Research Paper Recommender Using Tweets and Diversification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11799 LNCS, pp. 339–343). Springer Verlag. https://doi.org/10.1007/978-3-030-30760-8_29
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