Dear M.Sandeep Kumar,

Please see the attached file

https://www.dtc.umn.edu/s/resources/spincom8292.pdf

I am assuming that by Big Data you mean raw unannotated corpus. In the case of recommendation systems, the emphasis is on users. Big Data is not user-specific but can provide some insights to narrow the search. Example, big data can help you identify trends and user requirements based on his location.

Also, if the big data includes the user's search history, you can further recommend based on this using click-through data.

Hello,

Recommender Systems could be applied for many large-scale e-applications like e-commerce, e-learning, etc.

In fact, Recommender systems are being more powerful

with the huge volume of customer data in existing corporate

databases (structured Big Data), and the

increasing volume of customer data available on the

Web and social media platforms (unstructured Big Data).

You can check these links for more details:

- https://dl.acm.org/citation.cfm?id=2792842

- https://ieeexplore.ieee.org/document/7381557/

- Conference Paper Improving the Scalability of Recommender Systems by Clusteri...