Adobe, Inc.

Reddy Sreekanth

Niranjan Shivanand Kumbi

Ajay Awatramani

Balaji Vasan Srinivasan

Amit Gupta

Niyati Himanshu Chhaya

Aditya Bindal

Lakshay Tanwar

Varinder Kumar

Uddhab Pant

Techniques and systems are described for content interest from interaction information. Keywords are extracted from digital content, and relevance values are determined based on the keywords that captures both the statistical and semantic significance of topics in the digital content through use of a network representation. Interest values for an entity are determined based on the relevance values and an interaction dataset, which capture both the statistical and semantic significance of the topics with respect to the entity. The interest values may be utilized to control output of digital content to a client device.

Content interest from interaction information

The present disclosure relates to systems, non-transitory computer-readable media, and methods for initiating electronic chats based on conversation workflows identified in response to detected user actions in connection with an embedded document container displaying a PDF file. In particular, in one or more embodiments, the disclosed systems detect user interactions with a PDF file displayed by a document container embedded in a webpage. The disclosed systems can determine whether the detected user interactions include or indicate a conversation workflow trigger associated with a conversation workflow. The disclosed systems can further generate electronic messages based on the conversation workflow and provide the generated electronic messages to the user in connection with the webpage where the document container is embedded.

Providing personalized chat communications within portable document format documents

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Visakhapatnam, India

Reddy Sreekanth