1) The document proposes methods to generate personalized recommendations in social media platforms based on people relationships and tags. 2) An evaluation of three recommendation approaches that utilize direct tags, indirect tags through related items, and incoming tags from other users found that a combination of direct tags and incoming tags most accurately represented a user's interests. 3) A user study tested five recommendation approaches and found that combining people relationships and tags into a user profile achieved the highest ratings for interesting recommendations and lowest for non-interesting items.