• Problem description:
Our purpose is to study the attitudes of online store
customers regarding ratings and automatic product recommendations.
We are particularly interested in being able to identify
users who are positive about accepting product suggestions and explain what influences
them to do so.
The data we have comes from a questionnaire survey carried
out on regular customers of online stores aged 16-45.
the data is in the Views-on-recommendations.xlsx file
Job requirements
• Import the data into the RapidMiner repository. Choose the
type of each characteristic with reason.
• Enter the data into a process and perform descriptive
statistical analysis of the data. Identify and perform any transformations that
you feel help the analysis. Present the results for each question separately in
graph form and comment.
• We need the following methodology to solve
1. Planning
2. Import and adjust the data
3. Overview of the data
4. Modeling
5. Performing the procedure and understanding the results
6. Application of the model
