nternship training is one of the graduation requirements for undergraduate students in UTP. Students are usually posted to different companies, agencies, and organizations for the training. After the posting, the first activity that is conducted by students is to search for accommodation in proximity with the company to which they are posted. However, this task is not always easy as students may not be familiar with the company’s neighborhood. As a results, many websites are designed to recommend the best hotel/homestay for students using a recommender system. This system uses hotel rating to predict which hotel a user is most likely to choose from among all hotel/homestay. Nevertheless, in the case of students, rating alone is not enough for a suitable prediction, other important factors should also be considered. Assuming you are among the students who will be posted next semester for this training, build a system which will help you and your friends to book the best and most suitable hotel/apartment. In order to do that, choose any company within Malaysia and identify at least five (5) hotels/homestay around it. 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. Language Required if any : R Language Using R studio.
Computer Science
Internship training is one of the graduation requirements for undergraduate students in UTP. Students are usually posted to different companies, agencies, and organizations for the training. After the posting, the first activity that is conducted by students is to search for accommodation in proximity with the company to which they are posted. However, this task is not always easy as students may not be familiar with the company’s neighborhood. As a results, many websites are designed to recommend the best hotel/homestay for students using a recommender system. This system uses hotel rating to predict which hotel a user is most likely to choose from among all hotel/homestay. Nevertheless, in the case of students, rating alone is not enough for a suitable prediction, other important factors should also be considered.
Assuming you are among the students who will be posted next semester for this training, build a system which will help you and your friends to book the best and most suitable hotel/apartment.
In order to do that, choose any company within Malaysia and identify at least five (5) hotels/homestay around it. Select at least one compatible deep learning
Language Required if any : R Language Using R studio.
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