A Temporal Probabilistic Model for Dynamic Circle Recommendation in Mobile Applications

Abstract

This paper presents a novel framework for dynamic circle recommendation for a query user at a given time point from historical communication logs. We identify the fundamental factors that govern interactions and aim to automatically form friend circles for scenarios, such as, who should I share the photo with in the early morning? Whose post should be listed on top of my Facebook Wall feed at night? We develop a temporal probabilistic model that not only captures temporal tendencies between the query user and each friend candidate but also blends frequency and recency into circle formation. Experimental results on Enron dataset and Call Detail Records prove the effectiveness of dynamic circle formation with proposed temporal probabilistic model.