|
US2020286024A1
|
|
Automated structured workflow recommendation system
|
|
US2016357790A1
|
|
Resolving and merging duplicate records using machine learning
|
|
US2016105562A1
|
|
Call Center Input/Output Agent Utilization Arbitration Method and System
|
|
WO2015184013A1
|
|
Suggesting changes in an email to increase the likelihood of an outcome
|
|
US9313166B1
|
|
Enhancement of machine learning techniques for an electronic message system
|
|
US2016180234A1
|
|
Using machine learning to predict performance of an individual in a role based on characteristics of the individual
|
|
US2015278709A1
|
|
Using machine learning to predict behavior based on local conditions
|
|
US2015347924A1
|
|
Email optimization for predicted recipient behavior: determining a likelihood that a particular receiver-side behavior will occur
|
|
US2015181041A1
|
|
Intelligently Routing Inbound Communication
|
|
US2014143344A1
|
|
Systems and Methods for Transferring Personal Session Information for Telephonic Use
|
|
AU2013305922A1
|
|
Hierarchical based sequencing machine learning model
|
|
CN104769575A
|
|
Multiple output relaxation machine learning model
|
|
US2014114997A1
|
|
System and method for responding to web form inquiries
|
|
US8775332B1
|
|
Adaptive user interfaces
|
|
US2014279739A1
|
|
Resolving and merging duplicate records using machine learning
|
|
US2014180975A1
|
|
Instance weighted learning machine learning model
|
