Recommendation Systems | aiensured.com

Recommendation Systems
When you are watching an OTT channel it is often seen that you get prompted by means of a suggestion like "Netflix recommends" to promote you to watch the suggested movie or web series. This kind of recommendation is a popular form of unsupervised Machine Learning which uses different data sources like items watched by the user and user s friends. Not only the items watched by users but additionally information like ratings of items is also used as input for the Recommendation.
Popular techniques for Recommendation Systems include collaborative filtering based on similarity of items or similarity of users. In addition, model-based techniques like svd nmf and other such techniques are quite often very popular. Today diverse traits of users like their surfing times genres etc all provide useful information for Recommendation systems.
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