Title: Target Apps Selection: Towards a Unified Search Framework for Mobile Devices
Speaker: Mohammad Alian Nejadi
Time: September 18th 2018 (14:00)
Venue: FIT 3-125
Abstract:
With the recent growth of conversational systems and intelligent assistants such as Apple Siri and Google Assistant, mobile devices are becoming even more pervasive in our lives. As a consequence, users are getting engaged with the mobile apps and frequently search for an information need in their apps. However, users cannot search within their apps through their intelligent assistants. This requires a unified mobile search framework that identifies the target apps for the user's query, submits the query to the apps, and presents the results to the user. In this talk, we present our latest study on target apps selection, in which we collected thousands of cross-app mobile search queries and analyzed various attributes of users behavior as well as the queries. We finally study the performance of state-of-the-art retrieval models for this task and propose two simple yet effective neural models that significantly outperform the baselines. Our neural approaches are based on learning high-dimensional representations for mobile apps. Our analyses and experiments suggest specific future directions in this research area.