International Business Machines Corporation
CUSTOMIZED SCHEDULES USING REAL-TIME USER PROVIDED DATA
Last updated:
Abstract:
One or more processors may receive user specific data and location data. A recommendation machine learning algorithm may be utilized by the one or more processors to analyze the user specific data and location data. A visit recommendation may be generated by the one or more processors using the recommendation machine learning algorithm, where the visit recommendation comprises one or more recommended locations. The one or more recommended locations of the visit recommendation may be arranged, by the one or more processors utilizing a scheduling algorithm, into a visit schedule. The visit recommendation or visit schedule may be revised, by the one or more processors, using real-time user data. An optimized visit schedule to a user may be output, by the one or more processors to a graphical user interface on a user device.
Utility
22 Jul 2020
27 Jan 2022