Patent ID: 9223849
Filing Date: 2015-12-29
Classification: G06F,G06N,G06Q,H04L

Abstract:
1. A method comprising: receiving a first set of user activities from data sources; processing, with one or more computing devices, the first set of user activities to identify user interactions associated with a first user of a social network; classifying, with the one or more computing devices, the user interactions associated with the first user into a first category and a second category; determining a first base score and a first weight for each type of user interaction in the first category of user interactions, at least one of the user interactions being normalized for the first category, the first base score representing a level of effect and the first weight representing importance when calculating a reputation score; determining a second base score and a second weight for each type of user interaction in the second category of user interactions, at least one of the user interactions being normalized for the second category, the second base score representing the level of effect and the second weight representing the importance when calculating the reputation score; determining, with the one or more computing devices, a first reputation score for the first user in relation to a second user by combining a result of multiplying the first base score by the first weight and a result of multiplying the second base score by the second weight; and excluding user interactions in a first stream of content associated with the second user based on the first reputation score failing to exceed a threshold reputation score.