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Personalised book recommendation system based on opinion mining technique

机译：基于意见挖掘技术的个性化图书推荐系统

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摘要

Recommendation systems are tools in e-commerce websites which helps user to find the most suitable products. From the huge number of books, it is really difficult to choose a particular book. So, the recommendation system technique plays very important role and helps user to get books according to their need and interest. This paper presents online book recommendation system for users who purchase books by considering specific features of a book. These features include language, publisher, author, content, price, edition etc. The main motive of this paper is to develop a technique which recommends the most suitable books to users according to the specific features of the book that are of their own interest. In this paper we have used the features of a product, extracted from the reviews for recommendation. This is based on the combined features of classification and opinion mining technique.
机译：推荐系统是电子商务网站中的工具，可以帮助用户找到最合适的产品。从大量的书籍中，确实很难选择特定的书籍。因此，推荐系统技术起着非常重要的作用，可以帮助用户根据自己的需求和兴趣来获得书籍。本文介绍了一种通过考虑图书的特定功能为购买图书的用户提供在线图书推荐系统的方法。这些功能包括语言，出版商，作者，内容，价格，版本等。本文的主要目的是开发一种技术，根据自己感兴趣的特定功能向用户推荐最合适的书籍。在本文中，我们使用了产品的功能，这些功能是从评论中提取的，以进行推荐。这是基于分类和观点挖掘技术的组合特征。

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