Recommender Systems

 What is a Recommender System :

     Over Internet, the number of choices is overwhelming, there is need to filter, prioritize and efficiently deliver relevant information in order to mitigate the problem of information overload, which has created a potential problem to many Internet users. Recommender systems solve this problem by searching through large volume of dynamically generated information to provide users with personalized content and services.

    A recommender system is a technology that is deployed in the environment where items (products, movies, events, articles)are to be recommended to users (customers, visitors, app users, readers) or the opposite.In real world scenario there  are many items and many users present in the environment making the problem hard and expensive to solve. Let's take for example a  shop with Good merchant knows personal preferences of her/his customers. Her/His high quality recommendations make customers satisfied and increase profits. In case of online marketing and shopping, personal recommendations can be generated by an artificial merchant: "the recommender system".

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Recommender systems are increasingly used for personalised navigation through large amounts of information, especially in the e-commerce domain for product purchase advice. 

We could see the various types of Recommender system in my future blog.