Curated Content Based Recommender System
Praveen Manchale, Mohammed Bilal · 2014
Abstract — This paper discusses curated content-based recommender system, a type of content-based recommender system, implemented for a discussion forum. Content-based recommender systems are systems that recommend an item to a user based upon a description of the item and a profile of the user’s interests. There is a need for a curated system which can study, analyze and understand the user and thus recommend the relevant crafted information. A continually improving collection of questions and answers created, curated, edited, and organized by everyone who uses it. The system has the feature to serve the user with the aid of anonymity. Keywords—content-based; recommender system; discussion forums I.