-
公开(公告)号:US11853912B1
公开(公告)日:2023-12-26
申请号:US16777589
申请日:2020-01-30
Applicant: Amazon Technologies, Inc.
Inventor: Shiva Prasad Kasiviswanathan , Nina Mishra , Yonatan Naamad
IPC: G06N5/04 , G06F16/28 , G06N5/02 , G06F16/23 , G06F16/901
CPC classification number: G06N5/04 , G06F16/2393 , G06F16/285 , G06F16/9024 , G06N5/02
Abstract: Described are systems and methods for determining causal connections between various metrics collected by wearable devices and using those causal connections to provide causal insights to other users. For example, some users may elect to perform one or more self-experiments to explore the impact certain changes in their behavior may have on metrics measured by the user's wearable device. Causal connections determined from those experiments may be used to provide causal insights relating to those metrics to other users who have not performed the same or similar experiments.
-
公开(公告)号:US11797572B1
公开(公告)日:2023-10-24
申请号:US16056936
申请日:2018-08-07
Applicant: Amazon Technologies, Inc.
Inventor: Yonatan Naamad , Shiva Prasad Kasiviswanathan , Nina Mishra , Morteza Monemizadeh , Lauren Anne Moos , Joshua M. Tokle
CPC classification number: G06F16/278 , G06F16/285
Abstract: Techniques for hotspot detection in a dataset are described. A hotspot being a region (or a collection of points) where the value of a function of given any region in the space measures the concentration of points in that region is significantly higher than its other regions of the dataspace. As such, a region that has a denser concentration of points than other regions of the dataspace may be considered a hotspot. In some implementations, hotspot detection includes finding two or more regions to evaluate for high-density in the dataset, a high-density region indicating a potential hotspot and extending a size of the manipulated found two or more regions to determine borders for these regions.
-
公开(公告)号:US10713289B1
公开(公告)日:2020-07-14
申请号:US15475458
申请日:2017-03-31
Applicant: Amazon Technologies, Inc.
Inventor: Nina Mishra , Yonatan Naamad
IPC: G06F16/33 , G06F16/332 , G10L15/22 , G10L15/18 , G10L15/30 , G06F40/295
Abstract: Systems, methods, and devices for performing interactive question answering using data source credibility and conversation entropy are disclosed. A speech-controlled device captures audio including a spoken question, and sends audio data corresponding thereto to a server(s). The server(s) performs speech processing on the audio data, and determines various stored data that can be used to determine an answer to the question. The server(s) determines which stored data to use based on the credibility of the source from which the stored data was received. The server(s) may also determine a number of user interactions needed to obtain data in order to fully answer the question and may select a question for a dialog soliciting further data based on the number of user interactions.
-
-