Identifying User Sessions in Interactions with Intelligent Digital Assistants

WWW (Companion Volume), pp. 821-822, 2017.

Cited by: 7|Bibtex|Views15|
EI
Other Links: dblp.uni-trier.de|dl.acm.org|academic.microsoft.com

Abstract:

Search sessions have traditionally been considered as the focal unit of analysis for seeking behavioral insights from user interactions. While most session identification techniques have focused on the traditional web search setting; in this work, we instead consider user interactions with digital assistants (e.g. Cortana, Siri) and aim a...More

Code:

Data:

Your rating :
0

 

Tags
Comments