| Popis: |
The amount of digital content being produced every year has become so significant that even the most strong-willed users are now having difficulties if wanting to go through it all. For instance, given the pace with which movies are being released, film fans now consider platforms that can filter information based on their personal or collective preferences and provide recommendations. Interestingly, some users go as far as deciding what movie to watch based solely on the output of these systems. Most movie review sites enable users to rate a movie while optionally providing a short comment. However, trivially averaging biased ratings can be unreliable. After extensive research, we determined what makes a reputation system attractive in motivating users to contribute, accurate in providing relevant rankings and robust in case of abusive behaviour. In this paper, we will present the design details of a social reputation engine for movie reviews that, based on community feedback, empowers prolific users with a high reputation ranking. Our platform will enable users to log in and rate a movie based on a 5-star scale while also being required to provide a text review of at least 100 words. By counting upvotes and downvotes cast by other users on these reviews, usefulness marks will be computed. Furthermore, considering feedback on all of a user's activity, individual global reputation ranks will be determined. Thus, when averaging the rating for a movie, each individual rating will be weighed according to both its usefulness as well as the reputation rank of the poster. |
