Abstract:Purpose
This study aims to determine the most similar set of recommendation books to the user selections in LibraryThing.
Design/methodology/approach
For this purpose, 30,000 tags related to History on the LibraryThing have been selected. Their tags and the tags of the related recommended books were extracted from three different recommendations sections on LibraryThing. Then, four similarity criteria of Jaccard coefficient, Cosine similarity, Dice coefficient and Pearson correlation coefficient were used to… Show more
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