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EXISTING SYSTEM

PROPOSED SYSTEM

EXISTING CONCEPT:-

First, Friend book protects users’ privacy at the data level. Instead of uploading raw data to the servers, Friend book processes raw data and classifies them into activities in real-time. The Recognized activities are labeled by integers.

Second, Friend book protects users’ privacy at the life pattern level. Instead of telling the similar life styles of users, Friend book only shows the recommendation scores of the recommended friends with the users.

PROPOSED CONCEPT:-

In FB life style information is discovered from smart phone sensors. We model the daily lives of users as life documents and use the probabilistic topic model to extract life style information of users.

We propose a unique similarity metric to characterize the similarity of users in terms of life styles and then construct a friend-matching graph to recommend friends to users based on their life styles.

EXISTING ALGORITHM:-

Iterative algorithm.

PROPOSED ALGORITHM:-

Latent Dirichlet Allocation algorithm.

ALGORITHM  DEFNITION:-

An iterative method is a mathematical procedure that generates a sequence of improving approximate solutions for a class of problems. A specific implementation of an iterative method, including the termination criteria, is an algorithm of the iterative method. 

ALGORITHM  DEFNITION:-

LDA algorithm and alternative decomposition approaches. It is worth noting that the matrix decomposition process can be implemented more efficiently through incremental iteration.

DRAWBACKS:-

Recommendation accuracy is impossible in existing system.

Thus the two users’ privacy is effectiveness in the existing system.

ADVANTAGES:-

Improve the recommendation accuracy.

Demonstrate the effectiveness of our propose system compare the existing system.