Adobe, Inc.

Nimish Srivastav

Balaji Krishnamurthy

Nikaash Puri

Mihir Naware

Deepak Pai

Shankar Venkitachalam

Kumar Mrityunjay Singh

Hyman Chung

Yaman Kumar

Kunal Kumar Jain

Simra Shahid

Sukriti Verma

Vijay Srivastava

Vinh Ngoc Khuc

Shirsh Bansal

Sandipan Karmakar

Sean Steimer

Florin Silviu Iordache

Horea Bacila

Umang Moorarka

Anish Narang

Priyam Tejaswin

Some aspects relate to technologies for generating time series of sketches and using the time series of sketches for approximate query processing. In accordance with some aspects, tabular data is accessed that has a number of columns. Responsive to identifying a first column as comprising numerical data, sketches are generated for the numerical data for each of a number of time steps, and the sketches for the numerical data are stored as a first time series of sketches. Responsive to identifying a second column as comprising categorical data, sketches are generated for the categorical data for each of the time steps, and the sketches for the categorical data are stored as a second time series of sketches. When a query is received, a response to the query is provided using sketches from the first time series of sketches and/or the second time series of sketches.

Time series of sketches for approximate query processing

Methods, computer systems, computer-storage media, and graphical user interfaces are provided for determining user affinities by tracking historical user interactions with tagged digital content and using the user affinities in content generation applications. Accordingly, the system may track user interactions with published digital content in order to generate user interaction reports whenever a user engages with the digital content. The system may aggregate the interaction reports to generate an affinity profile for a user or audience of users. A marketer may then generate digital content for a target user or audience of users and the system may process the digital content to generate a set of tags for the digital content. Based on the set of tags, the system may then evaluate the digital content in view of the affinity profile for the target user/audience to determine similarities or differences between the digital content and the affinity profile.

Determining user affinities for content generation applications

Growing community of inventors

Santa Clara, CA, United States of America

Nimish Srivastav