To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process

Explore a cutting-edge research presentation on predicting user behavior in mobile applications using advanced machine learning techniques. Delve into the innovative approach of employing Neural Hawkes Process to distinguish between search and recommendation motivations when users open apps. Learn how the authors, Zhongxiang Sun, Zihua Si, Xiao Zhang, Xiaoxue Zang, Yang Song, Hongteng Xu, and Jun Xu, tackle this complex problem in the field of information retrieval and user modeling. Gain insights into the methodology, findings, and potential applications of this research, which has significant implications for improving user experience and app functionality in the rapidly evolving mobile technology landscape.

SIGIR 2024 M3.6 [fp] To Search or to Recommend: Predicting Open-App Motivation Neural Hawkes Process