Amazon Technologies, Inc.

Yonatan Naamad

Nina Mishra

Shiva Prasad Kasiviswanathan

Joshua M Tokle

Morteza Monemizadeh

Milind Arjanbhai Shyani

Lauren Anne Moos

Supriya Nagesh

Filter direction modifications are performed in vector-based searches. A query data item is obtained along with a data item filter to perform a data item search on a set of data items. A query vector that represents the query in feature space is generated and modified using a filter vector obtained from a matrix of filter vectors generated for the data item filters. The modified query vector is used to perform a search technique to identify data items to return as a result for the search.

Filter direction modifications to vector-based search

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.

Determining causal insights

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.

Systems, methods, and apparatus for hotspot detection

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.

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Sunnyvale, CA, United States of America

Yonatan Naamad