使用分类搜索引擎的基于内容的过滤推荐系统

Vicky Rolanda, T. Gunawan, Wanayumini
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引用次数: 0

摘要

搜索功能通常与特定的关键字一起使用,通常使用关键字和类别,有些人知道他们想要搜索什么,但有些人通常不是根据他们想要找到的内容进行搜索,而是根据可以按类别进行评级的推荐内容进行搜索。基于经常应用的推荐系统,它通常是基于一个项目与另一个项目之间的相似性而开发的。所以,这次作者想要开发一个基于同一类别的用户搜索,使用户可以根据自己想要的类别减少搜索的欲望,在本文中作者使用了基于内容基过滤的推荐系统。
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Content-Based Filtering Recommendation System Using Categories Search Engine
The search function is often used with certain keywords, usually using keywords and also catagories, someone knows what they want to search for, but some people often search according not to what they want to find but what is recommended to be seen based on ratings that can be by categories. Based on the recommendation system that is often applied, it is often developed based on the similarity between one item and another. So, this time the author wants to develop a search by users based on the same category so that users can reduce their desire to search according to the category they want, in this paper the author uses a recommendation system based on content base filtering.  
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