Literature Books Recommender System using Collaborative Filtering and Multi-Source Reviews
Elena-Ruxandra Luţan, Costin Bădică · Annals of Computer Science and Information Systems · 2024
In this contribution, we present a method for obtaining literature books recommendations using collaborative filtering recommender system technique and emotions extracted from multi-source online reviews.We experimentally validated the proposed system using a book dataset and associated reviews that we collected from Goodreads and Amazon websites using our customized web scrapers.We show the benefits of using multisource reviews by proposing a series of recommender system evaluation measures, which include single-source and multisource recommendations similarity, recommendation algorithm usecases coverage and generated recommendations relevance.