Mar 20, 2019 � This paper describes and solves an unsupervised mentor pattern identification problem from product usage logs for softening both challenges.

The problem is formulated as identifying a set of users (mentors) that satisfies three mentor qualification metrics: (a) the mentor set is small, (b) every user�...

The problem is formulated as identifying a set of users (mentors) that satisfies three mentor qualification metrics: (a) the mentor set is small, (b) every user�...

摘要： A typical software tool for solving complex problems tends to expose a rich set of features to its users.This creates challenges such as new users�...

Mentor Pattern Identification from Product Usage Logs. PAKDD (3) 2019: 359-371. [+][–]. Coauthor network. maximize. Note that this feature is a work in progress�...

Mentor Pattern Identification from Product Usage Logs ... A typical software tool for solving complex problems tends to expose a rich set of features to its users�...

Smart geo-fencing using location sensitive product affinity. A Garg, S ... Mentor Pattern Identification from Product Usage Logs. A Garg, A Kharb, YH�...

Graphics (2D & 3D). Publication date: March 20, 2019. Mentor Pattern Identification from Product Usage Logs. 23rd Pacific-Asia Conference on Advances in�...

This topic includes the list of code patterns analyzed by the current version of AI Mentor Studio. The patterns that only apply to a subset of the type of apps�...