Microsoft Technology Licensing, LLC

24/7 Customer, Inc.

Sourabh Chaki

Kumar Abhishek

Prabhakaran Krishnamoorthy

Saurabh Chawla

Bhavatarini Mallikarjuna Pushpa

Titas De

Neha Verma

Saurabh Uttam

In non-limiting examples of the present disclosure, systems, methods and devices for determining image compression optimums are provided. An image may be processed with a machine learning model that has been trained to identify object types in digital images. A first object and a first object type of the first object may be identified in the image. A first compressed version of the image may be generated, wherein the first compressed version has a first storage size. The first object and the first object type of the first object may be identified in the first compressed version of the image. A second compressed version of the image may be generated based on the identification of the first object and the first object type in the first compressed version of the image. The second compressed version may have a smaller storage size than the first storage size.

Artificial intelligence for semi-automated dynamic compression of images

A computer implemented method and an apparatus for determining user browsing behavior are provided. One or more web pages corresponding to a web domain are configured by associating the one or more web pages with tags. A control file is downloaded on a user device when a first web page access by a user to a tagged web page from among the one or more tagged web pages is detected. The control file facilitates recording of user activity related to a web domain on one or more tabs of a web browser associated with the user device. Recorded user activity corresponding to at least one web browsing session is received and user browsing behavior is determined based on the recorded user activity.

Method and apparatus for determining user browsing behavior

Growing community of inventors

Bengaluru, India

Sourabh Chaki