公开(公告)号：US12147775B2

公开(公告)日：2024-11-19

申请号：US17501602

申请日：2021-10-14

Applicant: Adobe Inc.

Inventor： Niyati Himanshu Chhaya ,  Udit Kalani ,  Roodram Paneri ,  Sreekanth Reddy ,  Niranjan Kumbi ,  Navita Goyal ,  Balaji Vasan Srinivasan ,  Ayush Agarwal

IPC: G06F40/40 ,  G06F40/216 ,  G06F40/279 ,  G06F40/30 ,  G06F40/44 ,  G06F40/56 ,  G06N3/08 ,  G06N3/09

Abstract: A content generator system receives a request to generate content for a target entity, and one or more keywords. The content generator system retrieves, for the target entity, a current stage identifier linking the target entity to a current stage within a multi-stage objective. The content generator system generates an input vector including the current stage identifier, a target stage identifier, a token embedding comprising the one or more keywords, and a position embedding for each of the one or more keywords, the target stage identifier associated with a target stage within the multi-stage objective different from the current stage. The content generator system generates output text content for the target entity by applying a generative transformer network to the input vector. The content generator system transmits the output text content to a computing device associated with the target entity.

公开(公告)号：US20240152605A1

公开(公告)日：2024-05-09

申请号：US17983687

申请日：2022-11-09

Applicant: Adobe Inc.

Inventor： Xiang Chen ,  Yifu Zheng ,  Viswanathan Swaminathan ,  Sreekanth Reddy ,  Saayan Mitra ,  Ritwik Sinha ,  Niranjan Kumbi ,  Alan Lai

IPC: G06F21/55

CPC classification number: G06F21/554 ,  G06F2221/034

Abstract: In some embodiments, techniques for identifying email events generated by bot activity are provided. For example, a process may involve applying bot detection patterns to identify bot activity among email response events.

公开(公告)号：US20250103822A1

公开(公告)日：2025-03-27

申请号：US18372462

申请日：2023-09-25

Applicant: Adobe Inc.

Inventor： Niranjan Kumbi ,  Sreekanth Reddy ,  Sumit Bhatia ,  Milan Aggarwal ,  Simra Shahid ,  Nikitha Srikanth ,  Camille Girabawe ,  Narayanan Seshadri

IPC: G06F40/35

Abstract: System and methods for generating, validating, and augmenting question-answer pairs using generative AI are provided. An online interaction server accesses a set of digital content available at a set of designated network locations. The online interaction server further trains a pre-trained large language model (LLM) using the set of digital content to obtain a customized LLM. The online interaction server generates a set of question-answer pairs based on the set of digital content using the customized LLM and validates the set of question-answer pairs by determining if an answer in a question-answer pair is derived from the set of digital content. The online interaction server also selects a digital asset to augment an answer in a validated question-answer pair based on a semantic similarity between the validated question-answer pair and the digital asset.

公开(公告)号：US20230121711A1

公开(公告)日：2023-04-20

申请号：US17501602

申请日：2021-10-14

Applicant: Adobe Inc.

Inventor： Niyati Himanshu Chhaya ,  Udit Kalani ,  Roodram Paneri ,  Sreekanth Reddy ,  Niranjan Kumbi ,  Navita Goyal ,  Balaji Vasan Srinivasan ,  Ayush Agarwal

IPC: G06F40/40 ,  G06N3/08 ,  G06F40/279

Abstract: A content generator system receives a request to generate content for a target entity, and one or more keywords. The content generator system retrieves, for the target entity, a current stage identifier linking the target entity to a current stage within a multi-stage objective. The content generator system generates an input vector including the current stage identifier, a target stage identifier, a token embedding comprising the one or more keywords, and a position embedding for each of the one or more keywords, the target stage identifier associated with a target stage within the multi-stage objective different from the current stage. The content generator system generates output text content for the target entity by applying a generative transformer network to the input vector. The content generator system transmits the output text content to a computing device associated with the target entity.

公开(公告)号：US20230409621A1

公开(公告)日：2023-12-21

申请号：US17845437

申请日：2022-06-21

Applicant: Adobe Inc.

Inventor： Xiang Chen ,  Viswanathan Swaminathan ,  Saayan Mitra ,  Camille Girabawe ,  Sreekanth Reddy

IPC: G06F16/35 ,  G06F40/279

CPC classification number: G06F16/35 ,  G06F40/279

Abstract: A topic mapping system generates customized mapping schemas for multiple topic sets. The topic mapping system generates document clusters that represent groups of digital documents. The topic mapping system also generates, for each topic set, a document-topic mapping data object (“DTM data object”) that describes a customized mapping schema of the document clusters to labels in the topic set. The topic mapping system identifies customized groups of documents for responding to multiple requests that have a particular keyword. For each request, the topic mapping system identifies a particular topic set and DTM data object associated with a computing system that provided the request. Based on the keyword, the topic mapping system identifies documents that are categorized according to the customized mapping schema in the DTM data object. The topic mapping system can provide customized groups of documents to respective computing systems that provided the multiple requests.

公开(公告)号：US20220343189A1

公开(公告)日：2022-10-27

申请号：US17237892

申请日：2021-04-22

Applicant: Adobe Inc.

Inventor： Niyati Himanshu Chhaya ,  Niranjan Kumbi ,  Balaji Vasan Srinivasan ,  Akangsha Bedmutha ,  Ajay Awatramani ,  Sreekanth Reddy

IPC: G06N5/04 ,  G06N20/00

Abstract: Certain embodiments involve using machine-learning methods to generate a recommendation for sequential content items. A method involves accessing a content item associated with an interaction stage in an online environment. A stage graph, which includes a ratio of interactions, of the content item is generated. An additional content item that includes additional stage-transition content is identified. A sequencing function outcome indicating a portion of the ratio of interactions is determined. A transition probability of receiving an interaction with stage-transition content and an additional interaction with the additional stage-transition content is calculated. A content provider system is caused to provide a recipient device with interactive content that includes the additional content item.