Systems and methods for predicting page activity to optimize page recommendations

US10733678B2 · kind B2 · utility

Assignee

• FACEBOOK, INC. · US

Inventors

• Komal Kapoor · Bellevue, US
• Jonathan Daniel Sorg · San Francisco, US
• Bradley Ray Green · Bellevue, US
• Jason Brewer · Kirkland, US
• David Sasaki · San Francisco, US

Key dates

• Filing date: Dec 28, 2015
• Grant date: Aug 4, 2020
• Expiry date: Dec 12, 2037

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q50/01
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

Systems, methods, and non-transitory computer-readable media can determine a plurality of candidate entities for recommendation to a user of a social networking system. A predicted activity objective value model configured to calculate activity stores for candidate entities is established. The activity score is indicative of the probability of future activity on the social networking system by a candidate entity. A first activity score is determined for each of the plurality of candidate entities based on the predicted activity object value model and a first set of feature values. A second activity score is determined for each of the plurality of candidate entities based on the predicted activity object value model and a second set of feature values that is different from the first set of feature values. A first entity is selected of the plurality of candidate entities based on the first and second activity scores.