Friendbook: A Lifestyle based Friend Recommendation System
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 3
Abstract
Few years ago, people naturally made friends with people who work or live close to themselves, such as associates or neighbours. This relationship can be defined as G-friends, where G-friends stand for geographical locationbased friends because they are influenced by the geographical distances between each other. With the large advances in social networks, services such as Google+, Twitter, Facebook have provided us many radical ways of making new friends. According to one of the popular social networks ‘Facebook’ statistics, single user has an average of 130 friends, conceivably larger than any other time in history. One challenge with current social networking services is how to recommend suitable friend to a user. Most of them depend on already existing user relationships to select friend candidates. For example, Facebook count on on a social link analysis among those who already share common friends and recommends proportioned users as probable friends. Regrettably, this approach may not be the most appropriate based on recent friend findings.
Authors and Affiliations
Pooja Tasgave, Amit Dravid
Keywords
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