公开(公告)号：US11689432B1

公开(公告)日：2023-06-27

申请号：US17657437

申请日：2022-03-31

Applicant: Amazon Technologies, Inc.

Inventor： Kasturi Bhattacharjee ,  Rashmi Gangadharaiah ,  Sharon Shapira ,  Ankit Kapoor ,  Tony Chun Tung Ng ,  Senthil Chock Chidambaram ,  Deepak Seetharam Nadig

IPC: H04L41/5061 ,  H04L41/50 ,  H04L41/5074

CPC classification number: H04L41/5064 ,  H04L41/5032 ,  H04L41/5074

Abstract: 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.

公开(公告)号：US20240160651A1

公开(公告)日：2024-05-16

申请号：US18065803

申请日：2022-12-14

Applicant: Amazon Technologies, Inc.

Inventor： Kasturi Bhattacharjee ,  Rashmi Gangadharaiah ,  Senthil C. Chidambaram ,  Ankit Kapoor ,  Sharon Shapira ,  Tony Chun Tung Ng ,  Deepak Seetharam Nadig

IPC: G06F16/2457 ,  G06F16/242 ,  G06F16/28

CPC classification number: G06F16/24578 ,  G06F16/242 ,  G06F16/285

Abstract: 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.

公开(公告)号：US11997177B1

公开(公告)日：2024-05-28

申请号：US18193876

申请日：2023-03-31

Applicant: Amazon Technologies, Inc.

Inventor： Narjessadat Seyeditabari ,  Vinayshekhar Bannihatti Kumar ,  Rashmi Gangadharaiah ,  Deepak Seetharam Nadig ,  Ankit Kapoor ,  Fayun Luo

IPC: H04L67/50 ,  G06F40/284 ,  H04L67/51

CPC classification number: H04L67/535 ,  G06F40/284 ,  H04L67/51

Abstract: Clusters of users of networked services are defined based on tasks performed by such users during such networked services. Activities of the users during sessions of the networked services are tracked, and representations of such users or such activities are used to train a model to predict activities of users in the future, including but not limited to services utilized by such users, or pages visited by such users. Subsequently, when a user accesses a networked service during a session, activities of the user may be determined, and a representation of the session is provided as an input to the model, along with contextual information such as an identifier of the persona of the user. A next action, e.g., a service or a page utilized by the user, may be predicted based on outputs received from the model.

公开(公告)号：US20250005051A1

公开(公告)日：2025-01-02

申请号：US18344747

申请日：2023-06-29

Applicant: Amazon Technologies, Inc.

Inventor： Sopan Khosla ,  Vinayshekhar Bannihatti Kumar ,  Rashmi Gangadharaiah ,  Deepak Seetharam Nadig ,  James W. Horsley ,  Abhijit S Barde

IPC: G06F16/332 ,  G06F9/54 ,  G06F16/33

Abstract: Systems and methods are provided for a natural language question answering service to provide answers to natural language questions regarding network-based services or computing domains. The natural language question answering service may receive the natural language question from a customer computing device. An aggregator of the natural language question answering service can retrieve passages from search systems based on the question and generate a prompt. A large language model (LLM) of the natural language question answering service may receive the prompt and provide an answer. The answer may be verified by a verifier of the natural language question answering service. Attribution may be applied to the answers and retrieved passages to produce references, inline citations, and similar questions. A watermarking module of the natural language question answering service may watermark the answer if it is verified.

公开(公告)号：US20250005057A1

公开(公告)日：2025-01-02

申请号：US18344698

申请日：2023-06-29

Applicant: Amazon Technologies, Inc.

Inventor： Sopan Khosla ,  Vinayshekhar Bannihatti Kumar ,  Rashmi Gangadharaiah ,  Deepak Seetharam Nadig ,  James W. Horsley ,  Abhijit S. Barde ,  Brijesh Luckria ,  Fawad Abbas ,  Bhaskar Hosahalli Rangaswamy ,  Michael W. Miller

IPC: G06F16/33 ,  G06F9/54 ,  G06F16/332 ,  G06F16/338 ,  G06F40/30 ,  G06F40/40 ,  G06N20/00

Abstract: Systems and methods are provided for a natural language question answering service to provide answers to natural language questions regarding network-based services or computing domains. The natural language question answering service may receive the natural language question from a customer computing device. An aggregator of the natural language question answering service can retrieve passages from search systems based on the question and generate a prompt. A large language model (LLM) of the natural language question answering service may receive the prompt and provide an answer. The answer may be verified by a verifier of the natural language question answering service. Attribution may be applied to the answers and retrieved passages to produce references, inline citations, and similar questions. A watermarking module of the natural language question answering service may watermark the answer if it is verified.

公开(公告)号：US11863643B1

公开(公告)日：2024-01-02

申请号：US18193891

申请日：2023-03-31

Applicant: Amazon Technologies, Inc.

Inventor： Narjessadat Seyeditabari ,  Vinayshekhar Bannihatti Kumar ,  Rashmi Gangadharaiah ,  Deepak Seetharam Nadig ,  Ankit Kapoor ,  Fayun Luo

IPC: H04L67/50 ,  G06F40/284 ,  H04L67/306

CPC classification number: H04L67/535 ,  G06F40/284 ,  H04L67/306

Abstract: Clusters of users of networked services are defined based on tasks performed by such users during such networked services. Activities of the users during sessions of the networked services are tracked, and representations of such users or such activities are used to train a model to predict activities of users in the future, including but not limited to services utilized by such users, or pages visited by such users. Subsequently, when a user accesses a networked service during a session, activities of the user may be determined, and a representation of the session is provided as an input to the model, along with contextual information such as an identifier of the persona of the user. A next action, e.g., a service or a page utilized by the user, may be predicted based on outputs received from the model.