Content Recommendation


Personalized content has become the specific need of every user nowadays. The search engines are now preprogrammed to render user-specific results. Even if the exact user query results aren't available, the AI (Artificial Intelligence) based content recommendation systems point to the most relevant results that are still suitable to the user requirements. Such intelligent systems also recommend the user's products/content based on their previous interactions with the system. A content recommendation system is a new way of letting users explore and know what they like the most. Once the system predicts the user's personalized content, users make multiple visits to the same scenario due to higher satisfaction. So, with AI-based recommendation systems, the monthly number of users keeps increasing.

Challenges Faced by the Customers

In a nutshell:

Recommendation of irrelevant, repetitive and misleading content can be annoying for the users. The AI based recommendation systems check in for proper monitoring system whereby it evaluates the interaction of user with the system to assess and filter out the unnecessary content.