Publications
CONFERENCE (INTERNATIONAL) Prediction of Prospective User Engagement with Intelligent Assistants
Shumpei Sano, Nobuhiro Kaji, and Manabu Sassano
the annual meeting of the Association for Computational Linguistics (ACL2016)
August 07, 2016
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. Experiments demonstrated that our models can predict prospective user engagement reasonably well, and outperforms a strong baseline that makes prediction based past utterance frequency.
Paper :
Prediction of Prospective User Engagement with Intelligent Assistants
(external link)