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Emotion-Based Literature Books Recommender Systems

Luțan Elena-Ruxandra, Bădică Costin

Annals of Computer Science and Information Systems

2023

Vol. 35

275--280

In this paper we propose two book recommendation methods based on emotions extracted from user reviews, using content-based filtering and collaborative filtering. The methods were experimentally evaluated on our own dataset that we collected from Goodreads -- a popular website with large database of books and readers reviews. We created an experimental setup where the recommendation algorithms for carrying out the evaluation using two proposed evaluation metrics: coverage and average recommendations similarity.