Friendbook

Project Abstract / Summary :

• Existing social networking services recommend friends to users based on their social graphs, which may not be the most appropriate to reflect a user’s preferences on friend selection in real life.
• Here we present Friendbook, a novel semantic-based friend recommendation system for social networks, which recommends friends to users based on their life styles instead of social graphs.
• By taking advantage of sensor-rich smartphones, Friendbook discovers life styles of users from user-centric sensor data , measures the similarity of life styles between users, and recommends friends to users if their life styles have high similarity.
• We further propose a similarity metric to measure the similarity of life styles between users, and calculate users 'impact in terms of life styles with a friend-matching that the recommendations accurately reflect the preferences of users in choosing friends.

Why did you choose to work on this project topic : The existing system the giant like Google, amazon, eBay have a product recommendation based on the history we searched in their sites.

In Facebook the friend suggestion is done by getting the data of friends of friends and then it filters the friends .

These two system does not provide a best friend recommendation system , by analyzing the disadvantage of improper friend selection criteria the Friendbook concept was derived

Project Category : CS / IT / Networking
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Institute/College Name: Sri Manakula Vinayagar Engineering College
City: Puducherry
State: Puducherry
Participating Team From: Third Year