A Product Recommendation System for e-Shopping

Muhammad Yasir Imam, Z. Usmani, Arsalan Khan, Osama Usmani
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引用次数: 2

Abstract

With the increase in number of ecommerce websites, it is difficult for a user to find a reasonable product he/she wants. In addition, users have no way to find the best product for him rather than searching product on different website and looking for the best product suitable to him. Product recommendation system is a web-based system that solves the problem of users by helping them to decide which product suits them according to the features and price they require. Our system is independent of the structure of websites as it uses set of rules and matches the regular expressions of the specifications with the text of the website. This system is visualizing results graphically for the ease of user decision. This product recommendation system provides results realistically.
面向电子购物的产品推荐系统
随着电子商务网站数量的增加,用户很难找到他/她想要的合理产品。此外,用户没有办法找到最适合他的产品,而是在不同的网站上搜索产品,寻找最适合他的产品。产品推荐系统是一种基于web的系统,它根据用户需要的特性和价格,帮助用户决定适合自己的产品,从而解决用户的问题。我们的系统独立于网站的结构,因为它使用一套规则,并将规范的正则表达式与网站的文本相匹配。该系统将结果以图形方式可视化,方便用户决策。这个产品推荐系统提供了现实的结果。
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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