AEIOU

1. Algorithims

1.1. Identifying 'related' items in recommendation service

2. Data Capture

2.1. Metadata Standard (SHEMA) for activity data

3. Authenticating and Tracking Users

3.1. Tracking users for recommendations across institutional repositories

3.2. Tracking users across repositories - cookies

4. Anonimity

4.1. IP address encryption - symetric shared key on servers

4.2. Exposing IP addresses in activity data