What is it about?
Recommendation systems are used to assist the users in selecting an item of interest. Item can be a movie to watch, music to listen to, product to purchase, or news article to read. Content information plays the main role in identifying the interest of the users. So content information along with ratings are used to improve the performance of the recommendation system.
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Why is it important?
Content information is used to boost the user profile to give a better-personalized recommendation. Pessimistic users are also benefitted from good recommendations.
Perspectives
I hope this article will give an insight into the various recommendation techniques and the importance of content information in providing a better recommendation to the users.
Rajalakshmi Sivanaiah
Sri Sivasubramaniya Nadar College of Engineering, Chennai, Tamil Nadu, India
Read the Original
This page is a summary of: Content boosted hybrid filtering for solving pessimistic user problem in recommendation systems, Intelligent Data Analysis, December 2020, IOS Press,
DOI: 10.3233/ida-205244.
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