Samsung Electronics Co., Ltd.

Walmart Apollo, LLC

Ketki Aniruddha Gupte

Barath Raj Kandur Raja

Vibhav Agarwal

Arjun Raj Kumar S

Ankur Agarwal

Arko Sabui

Himanshi Sinha

Vahid Azizi

Surya Lakshmi Sujitha Pasumarty

Xiaolin Pang

Shashank Sriram

Harshada Haribabu Vuyyuri

This application relates to employing trained machine learning processes to map items across various domains. For example, a computing device may obtain first textual data for a first item, and second textual data for a second item. The computing device generates a plurality of features based on the first textual data and the second textual data. Further, the computing device inputs the generated plurality of features to a trained machine learning process to generate output data characterizing a textual similarity between the first textual data and the second textual data. The computing device may also determine whether the first item maps to the second item based on the output data. The computing device generates mapping data based on the determination, and stores the mapping data in a data repository.

Methods and apparatus for automatic item mapping using machine learning processes

An electronic device for providing contextual recommendations and a method therefor are provided. The electronic device includes a memory storing instructions, and at least one processor configured to execute the instructions to obtain text including characters, identify, based on a language model, a domain corresponding to the text, identify a reference of the characters based on the domain, and perform, based on the reference, an action related to the domain.

Contextual recommendation

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Bengaluru, India

Ketki Aniruddha Gupte