Walmart Apollo, LLC

Optum, Inc.

Anurag Das

Wei Shen

Kartik Chaudhary

Raghav Bali

Changzheng Liu

Sudeep Choudhary

Subhadip Maji

Georgios Rovatsos

Ahinoam Pollack

Saeed Ahmadian

Sandip Bhattacharjee

Aman Avilash

Systems and methods for automatically computing biddings for cold items are disclosed. A first bid value is computed and submitted for a first bidding for a first set of items each having a predicted sales metric larger than a first threshold in a first time period. From the first set of items, a second set of items are selected that have a traffic metric smaller than a second threshold in a second time period. Each item in the second set is assigned to one of a plurality of clusters. A second bid value is computed for each cluster based on cluster-level metrics and a click distribution among the plurality of clusters. An updated bid value is computed, for each item in the second set, to be submitted for a second bidding, based on the second bid value for a cluster to which the item is assigned.

System and method for automatically computing and updating advertisement biddings for cold items

Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing augmented reality assistance mode functionalities. Certain embodiments utilize systems, methods, and computer program products that perform augmented reality assistance mode functionalities by using at least one of environment familiarity predictions, assistance mode triggering need determinations, and threat detection machine learning models.

Dynamic triggering of augmented reality assistance mode functionalities

Growing community of inventors

Bengaluru, India

Anurag Das