Review Paper on Novel Recommendation

Kinjal N. Gharia, Palak V. Desai, Monali R. Gandhi
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Abstract

A recommendation system is broadly used to recommend products to the end users that are most appropriate. Online book selling websites now-a-days is competing with each other by considering many attributes. In this paper, we describe traditional approaches and explain what kind of modern approaches have been developed. We will also try to explain approaches and their problems for the book/novels recommendations. This paper also presents book/novels recommendation in which we are proposing hybrid algorithm, so it helps the recommendation system to recommend the books or novels based on the buyer’s interest.
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小说推荐综述
推荐系统广泛用于向最终用户推荐最合适的产品。如今,在线图书销售网站通过多种属性相互竞争。在本文中,我们描述了传统的方法,并解释了什么样的现代方法已经发展。我们还将尝试解释书籍/小说推荐的方法及其问题。本文还介绍了图书/小说推荐,其中我们提出了混合算法,从而帮助推荐系统根据购买者的兴趣来推荐图书或小说。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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