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IEEE/ICACT20230130 Slide.08        [Big Slide]       [YouTube]	Oral Presentation
	This is the architecture of the hybrid book recommender system. The system consists of three modules Model-based book recommender algorithm. It recommends N number of books to a user based on the item-based algorithm and the ALS algorithm. Lucene score calculation. It is used to prioritize books that are deemed more popular based on the relevant Twitter tweets. Hybrid Recommender. Item-based recommendations will always come first, followed by the ALS recommendations. The book popularity will be used to sort the recommendation list of each algorithm.

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