Producing timely recommendations from social networks through targeted search

There has been a significant increase in interest and participation in social networking websites recently. For many users, social networks are indispensable tools for sharing personal information and keeping abreast with updates by their acquaintances. While there has been research on understanding the structure and effects of social networks, research on using social networks for developing targeted referral systems are few even though this can be valuable because of the abundance of information about user preferences, activities and choices. The goal of this research is to develop agent-based referral systems that learn user preferences based on past rating activities and caters to an individual user’s interests by selectively searching the contributions posted by other users in close proximity in this user’s social network. In particular, we are interested in fast notification of relevant activities in the social network that will enhance user awareness, satisfaction, and c...

• Type: Conference
• Year: 2009
• Where: ATAL
• Authors: Anil Gürsel, Sandip Sen
• Keywords: Artificial Intelligence, ATAL 2009, Social Network, User Preference, User’s Social Network