Amazon Technologies, Inc.

Sharon Shapira

Rashmi Gangadharaiah

Deepak Seetharam Nadig

Ankit Kapoor

Kasturi Bhattacharjee

Tony Chun Tung Ng

Deepak Singh

Christopher Brian Barclay

Alireza Farhangi

Yu Gu

Sean Henry Lewis Meckley

Sairam Suresh

Pierre Rognant

Senthil Chock Chidambaram

Shawn Dhirendra Shah

Senthil C Chidambaram

Systems and methods are used to detect underlying themes from a collection of documents at an aggregated level. A representative set of documents may be selected from a cluster of documents, with the representative set of documents corresponding to a general theme of the cluster. Candidate theme phrases may then be extracted from the documents and used to generate document embeddings and candidate phrase embeddings, which may be ranked, such as with a diversity-based ranking approach. Certain candidates may be selected from the ranking. Each of the documents forming the representative set may then be concatenated and a query embedding may be generated and ranked against the candidate phrases. In this manner, a collection of phrases associated with both the general underlying theme of the cluster, along with granular topics associated with that theme, may be identified.

Theme detection within a corpus of information

Disclosed herein is a tag viewer that can be implemented to overlay content on a web page, such as a web page of a web-based console associated with a service of a service provider network. The tag viewer may determine which page elements of a web page are tagged based on data, such as a data structure, associated with the web page, and may overlay content on the web page, the content including: (i) one or more containers presented around one or more tagged page elements, and (ii) one or more annotations presented in association with the tagged page element(s). Individual annotations that are overlaid on the web page may include a tag type and/or a tag value corresponding to the analytics tag associated with the tagged page element.

Systems and methods for visualizing analytics tags associated with page elements of a web page

The present disclosure generally relates to a feedback processing service that can receive customer input, as customer feedback corresponds to a service context. The feedback processing service aggregates semantically similar feedback as a cluster. Then, the feedback processing service can prioritize each of the clusters by ranking each of the clusters.

Feedback prioritization system

Systems and methods are described to enable automation of service discovery records, such as domain name system (DNS) records, based on rules. An administrator of a hosted server, such as a virtual machine instance, may submit a rule to a rule-based DNS resolution system for generating DNS records to assist in discover of the hosted server. The rule may include criteria specifying servers to which the rule applies, as well as criteria for generating a domain name to associate with the server within a DNS record. The rule-based DNS resolution system can integrate with a hosting system providing the hosted server to obtain configuration information of the hosted server and generate DNS records in accordance with the rule. Rules may also be utilized to automate other aspects of the rule-based DNS resolution system, such as health checking and load balancing.

Rule-based automation of DNS service discovery

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Seattle, WA, United States of America

Sharon Shapira