arjaanusha811

For the following ratings given to items by the users, perform the tasks below:
 
           Item 1 Item 2 Item 3 Item 4 Item 5 
User 1   ?           3         ?         3          4 
User 2   4           ?         ?         2          ? 
User 3   ?           ?         3         ?          ? 
User 4   3          ?         4        ?           3 
User 5   4          3         ?        4          4

Note: '?' means user has not rated that item.

For all of these tasks, use Pearson Correlation Coefficient as similarity measure and mean-centered prediction function.
Show your working clearly for :
a) Find nearest neighbors of user 1 for k=2.
b) Apply user-based Collaborative Filtering to predict R(U1, I3) (read: rating for user 1 and item 3).
c) Apply item-based Collaborative Filtering to predict R(U3, I2) and R(U4, I4). (HINT: USE CASCADING)
d) Say we had an option of using mode-centered prediction function instead of using mean. What do you think would be the effect of using mode as a baseline instead of average? Can using mode ever improve the performance of recommender system?

HTML programming 

I need a large report from 8 pages based on the following outline listed below:

Notice: The report should be written in a clear and concise manner, using appropriate technical language and terminology where necessary. It should also include figures or diagrams where relevant to help illustrate key concepts.

I. Introduction

• Brief overview of the purpose of the report

• Background information on the need for blood pressure machines

II. Description of Blood Pressure Machines

• Definition of blood pressure machines

• Types of blood pressure machines

• Working principle of blood pressure machines

III. Intellectual Property Position for Blood Pressure Machines

• Overview of the current IP landscape for blood pressure machines

• Analysis of existing patents and their impact on the industry

IV. Regulatory and Reimbursement Strategy for Blood Pressure Machines

• Overview of the current regulatory landscape for blood pressure machines

• Discussion of the FDA regulations for blood pressure machines

• Preliminary thinking on reimbursement strategies for blood pressure machines

V. Data from Validation Interviews

• Summary of the validation interviews performed to date

• Key insights gained from the validation interviews

VI. Conclusion

• Summary of the main points discussed in the report

• Future considerations for the development and commercialization of blood pressure machines

VII. References

• List of sources used in the report