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In recommendation systems, there are two main kinds of recommendation systems collaborative and content-based. The collaborative recommendation system is also called a collaborative filter because that reduces the information and identifies the relevant information. The aim of this filter is to focus on user-profiles and try to find similar users. Based on these similar users …
The recommendation system can be developed based on Content-Based filtering, and collaborative filtering models. in this article, we are discussing a content-based Recommendation system. The content-based Recommendation system utilizes the data taken from the user which may be captured directly or indirectly from the user. For example by using a rating, review, or clicking on …
A web recommendation system is an extensive class of Web applications. That involves predicting user responses to options. Such a facility is called a recommendation system. We can take a basic idea of a recommendation system by using two good examples [13]: Online news publishing websites are offering news articles to their readers, …
