Book recommendation system: reviewing different techniques and approaches
Authors: 
P. Devika, A. MiltonAuthors Info & Claims
P. Devika, A. MiltonAuthors Info & ClaimsPages 803 - 824
Abstract
E-reading has become more popular by making the number of book readers high in number. With online book reading websites, it is much simpler to read any book at any time by simply typing its name into a search engine. These websites offer free reading platform to users with unlimited number of choices without exceeding any rights. However, statistics reveal that reading is dwindling, particularly among young people. In this survey, we presented several existing approaches employed to design a book recommendation system from 2012 to 2023. Different types of datasets, used to extract information about books and users, in terms of features, source and usage were discussed. Six different categories for book recommendation techniques have been recognized and discussed which would build the groundwork for future study in this area. The issues related to book recommendation system was also briefly discussed. We have discussed on the performance analysis of various research works on book recommendation system. We have also highlighted the research concerns and future scope to improve the performance of book recommender system. We hope these findings will help researchers to explore more in book recommender systems particularly.
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Published: 14 May 2024
Accepted: 21 April 2024
Revision received: 21 April 2024
Received: 06 September 2023
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