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A comparison between usage-based and citation-based methods for recommending scholarly research articles

✍ Scribed by André Vellino

Publisher
Wiley (John Wiley & Sons)
Year
2010
Tongue
English
Weight
114 KB
Volume
47
Category
Article
ISSN
0044-7870

No coin nor oath required. For personal study only.

✦ Synopsis

This study compares some of the behavioural characteristics of two recommender systems for scholarly articles in a digital library: a usage-based recommender and an experimental citation-based recommender. Experimental results show that article recommendations based only on usage data are slightly better at solving the perennial datasparsity problem that plagues collaborative filtering recommenders in digital libraries. However, citation-based recommendations are more semantically diverse and have less in common with conventional search results than the usage-based method. However both of these methods are complementary since most of the time if one recommender produces a list of recommendations the other does not.

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