Mike Tamir, PhD

A novel e-commerce system designed to enhance customer experience by categorizing them into various groups, or clusters, and customizing services according to their cluster placement. In one implementation, this e-commerce system establishes these clusters by analyzing the purchasing history of customers who possess an adequate amount of such data. For customers lacking sufficient purchase history data, the system assigns them to one of these predefined clusters based on their demographic… Show more

A novel e-commerce system designed to enhance customer experience by categorizing them into various groups, or clusters, and customizing services according to their cluster placement. In one implementation, this e-commerce system establishes these clusters by analyzing the purchasing history of customers who possess an adequate amount of such data. For customers lacking sufficient purchase history data, the system assigns them to one of these predefined clusters based on their demographic information and the demographics of customers already associated with the respective cluster. Show less

This disclosure relates to the analysis of data generated by one or more connected systems and devices. Operational data obtained by one or more connected devices and/or systems, such as a connected thermostat and/or wind turbine system, may be used to detect and/or predict impending failures and/or suboptimal performance. By detecting and/or predicting anomalous system and device performance, various actions may be taken to improve system and device performance and mitigate failure conditions.

Methods and apparatus are disclosed regarding an e-commerce system that places customers into a plurality of clusters and tailors services provided to a customer based on the cluster in which the customer is placed. In one embodiment, the e-commerce system defines the clusters based on purchase history data for customers having sufficient purchase history data. The e-commerce system then places customers without sufficient purchase history data into one of the defined clusters based on… Show more

Methods and apparatus are disclosed regarding an e-commerce system that places customers into a plurality of clusters and tailors services provided to a customer based on the cluster in which the customer is placed. In one embodiment, the e-commerce system defines the clusters based on purchase history data for customers having sufficient purchase history data. The e-commerce system then places customers without sufficient purchase history data into one of the defined clusters based on demographic data for the customer and demographic data for the customers in the cluster. Show less

This disclosure related to systems and methods that facilitate the secure collection and management of operational data relating to a power generation system that includes one or more wind turbines. Embodiments disclosed herein may also be used to provide various insights on wind farm operation and management using collected operational data. Further embodiments facilitate policy-managed access to operational data, including policy-managed access implementing differential privacy, in a manner… Show more

This disclosure related to systems and methods that facilitate the secure collection and management of operational data relating to a power generation system that includes one or more wind turbines. Embodiments disclosed herein may also be used to provide various insights on wind farm operation and management using collected operational data. Further embodiments facilitate policy-managed access to operational data, including policy-managed access implementing differential privacy, in a manner allowed and/or otherwise controlled by parties having ownership rights or interests in the data. Show less

Methods and apparatus are disclosed regarding an e-commerce system that clusters customers based on demographic data and purchase history data for the customers. In some embodiments, the e-commerce system solves an Integer Program that accounts for the demographic data and purchase history data in order to identify a hyperplane that splits a selected cluster of customers.

This disclosure relates to the analysis of data generated by one or more connected systems and devices. Operational data obtained by one or more connected devices and/or systems, such as a connected thermostat and/or wind turbine system, may be used to detect and/or predict impending failures and/or suboptimal performance. By detecting and/or predicting anomalous system and device performance, various actions may be taken to improve system and device performance and mitigate failure conditions.

A system and method for providing route information to a user, in which paths provided to the user are automatically selected based on personal information of the user, so that in following the provided paths, the user passes things in which the user may have particular interest.