Why do we care about recommendations? NetFlix Prize Amazon.com “Other users liked” Helps people discover new products We focus on recommending groups in social networks to users. There can be millions of groups to choose from. Our NewKid Algorithm
Our algorithm performs significantly better.
# recommendations needed to satisfy 50% of users
We recommended groups using only the structure of the graphs. If we included textual meta data, like stated purpose of the group and the user’s interests, we could only improve our recommendations. This would extend the work from collaborative filtering to incorporating content filtering.