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A lot of book recommender systems have been developed using different recommendation techniques.
Okon et. al., 2018, designed and developed an improved recommendation model by using collaborative filtering algorithm as well as an efficient quick sort algorithm to make efficient book recommendation. This system was implemented by using a real-time, cloud-hosted NOSQL database.
Chandak et. al., 2015, proposed a book recommender system that combines the features of collaborative filtering and content-based filtering in a hybrid way. It combines recommendations generated by two techniques.
Zafar. Ali, et. al., 2016, created a hybrid book recommender system that recommends relevant books based on book contents, item-item collaborative filtering and association rule mining.
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IEEE/ICACT20230130 Slide.05
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