Recommendation Engine

GROUP MEMBERS:Divya Sethi (9911103456)

Gunjan Panjwani (9911103463) Manisha Malhotra (9911103483)

INTRODUCTION

The Recommendation System is a web tool through which users are recommended the kind of content they like on the basis of their browsing patterns.

It is based on the concept of web usage mining which is a set of techniques of data mining applied to extract useful knowledge and implicit information from web data.

Problem Statement

Today with the ample amount of options available across the web, it seem like you have the whole world on your desk and you can choose as per your heart’s content. And the problem arises as to what to choose?

  Here comes in our software in the picture which analyses all

the user’s past behavior and recommends them that would they like and would be suitable for them which ushers the user in narrowing down their options and have the best buy.

Overview of Proposed Solution

In our project we devise a technique in which to lessen the confusion of the user we sort the item options for them on the basis of their and other users past behavior by using an algorithm.

Their past records reflect their needs and choices.

The platform on which we are implementing the software is based on java language and is running on a local host in the form of a website. We choose this platform as everything is web based today be it learning or shopping.

The user pattern will be analyzed and the further recommendations will be made accordingly.

Implementation

Fig1. Admin Use case diagram

Fig2. User flow diagram

Fig3. Admin Activity Diagram

Fig4. User activity diagram

Risk Analysis and Mitigation   

Risk Id

  

Description of risk

  

Risk area

  

Probability(P)

  

Impact(I)

  

RE =P*I

Risk selected for mitigation on ( Y/N)

  

Mitigation on plan

  

Contingency plan

1 Recommendation is not relevant

 

Output generation

Medium 

High 3*5=15 Y Improvise the algorithm

We will try to come up with more accurate

results.

2 Web log file is altered Data Preparation Low High 1*5=5 

Y The location is confidential

Apply protection through password

3 User login is not working Sign In Low High 1*5 = 5 Y Check if database is connected properly

Try to make up back of the original database.

4 Admin page is accessible by the user

Addition of products

Low High 1*5 = 5 Y Add functionality of answering particular questions and then only get access to admin page

 

Advantages

If there is a new user who has visited the website for the very first time, no matter whether they have searched or bought anything, they are recommended products according to what others are buying and what is popular and in trend amongst the people these days.

One stop destination for all the varied items you would want to buy.

Limitations

It searches by category only.

The payment gateway is not there.

The software is static.

The ever expanding products needs to be accommodated which can become a cumbersome task.

Conclusion

Recommendation System as the name suggests the user on the all user’s pattern’s of searching and buying.

Recommendation system is a software which recommends you even if you haven’t searched or bought anything from it, still it would recommend products according to your choice based on buying of people around and other logged on user’s.

Future Scope

The database can be taken to the cloud storage which helps in increasing the storage content.

Website to be made fully functional i.e. dynamic website instead of static.

Searching on the basis of price range as well.

THANK YOU!!!