Recommendation Algorithm

Problem Description

Our recommendation algorithm comprises of three steps:

• Seeding: select favourite movies as seeds for recommendation
• Associating: find similar movies based on the seeds
• Fitting: select based the projected score based on user history and public ratings

The latter two steps are very time consuming and take up most of the time of the recommending process for each user. Thus, the process must be optimised.

Algorithm Description

Current Solutions

Associating

Fitting

Future Solutions