Abstract
Mendeley has and continues to build a strong user community of researchers who benefit from both its desktop and web-based software. In building its community, Mendeley has recorded a considerable amount of data that can be analyzed in order to support researchers to do better research. One key area in which researchers are helped is by providing them with recommendations on research articles that they have not yet encountered but would be interested in. Recommendation system research, while being well studied in some domains, such as cinematography, lacks the kind of scientific data sets that Mendeley has been building. Mendeley has taken up the DataTEL challenge in order to provide recommendation system researchers with valuable data on users and their relationship with scientific literature. The data set has been made anonymous to protect user privacy and can only be used for non- commercial scientific purposes.
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Jack, K., Hammerton, J., Harvey, D., Hoyt, J. J., Reichelt, J., & Henning, V. (2010). Mendeley’s Reply to the DataTEL Challenge. Procedia Computer Science, 1(2), 1–3. Retrieved from http://www.mendeley.com/research/sei-whale/
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