Practice 1: R Shiny and build a hotel recommender system. Assuming you are among the students who…

Practice 1: R Shiny and build a hotel recommender system.

Assuming you are among the students who will be posted next semester for training, build a system that will help you and your friends to book the best and most suitable hotel/apartment.

Select at least one compatible deep learning algorithm for your recommender system. Design a network with at least three input parameters. While maintaining a constant value for bias, use your knowledge of the domain to assign Weights to each parameter. Choose the most suitable activation function for your network. Rank the hotels you have identified from best (most suitable) to the least recommended hotel. Explain each step, and where applicable, depict your explanations.