Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps

KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Virtual Event CA USA July, 2020, pp. 2269-2279, 2020.

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We study a novel problem of explainable user engagement prediction for social network Apps

Abstract:

With the rapid growth and prevalence of social network applications (Apps) in recent years, understanding user engagement has become increasingly important, to provide useful insights for future App design and development. While several promising neural modeling approaches were recently pioneered for accurate user engagement prediction, t...More

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