Prediction of Prospective User Engagement with Intelligent Assistants

Shumpei Sano, Nobuhiro Kaji, Manabu Sassano
2016 Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)  
Intelligent assistants on mobile devices, such as Siri, have recently gained considerable attention as novel applications of dialogue technologies. A tremendous amount of real users of intelligent assistants provide us with an opportunity to explore a novel task of predicting whether users will continually use their intelligent assistants in the future. We developed prediction models of prospective user engagement by using large-scale user logs obtained from a commercial intelligent assistant.
more » ... lligent assistant. Experiments demonstrated that our models can predict prospective user engagement reasonably well, and outperforms a strong baseline that makes prediction based past utterance frequency.
doi:10.18653/v1/p16-1114 dblp:conf/acl/SanoKS16 fatcat:oihcjrjrczhi5gnyx2kayoygdq