Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit

pp. 1055-1063, 2019.

Cited by: 7|Views90
EI
Weibo:
An interpretable user modeling method termed as Log2Intent has been proposed in this paper, which mines user intent from sequential log-trace data

Abstract:

Modeling user behavior from unstructured software log-trace data is critical in providing personalized service (\emphe.g., cross-platform recommendation). Existing user modeling approaches cannot well handle the long-term temporal information in log data, or produce semantically meaningful results for interpreting user logs. To address th...More

Code:

Data:

0
Your rating :
0

 

Tags
Comments