Walmart Apollo, LLC

Georgios Rovatsos

Wei Shen

Changzheng Liu

Xuan Cao

Anurag Das

Sandip Bhattacharjee

Aman Avilash

Ahinoam Pollack

Saeed Ahmadian

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

Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and cause the one or more processors to perform (1) receiving a request to generate one or more campaigns; (2) determining one or more predicted bids for one or more keywords in the one or more campaigns; (3) adjusting the one or more predicted bids for the one or more campaigns; (4) pacing the one or more predicted bid, as adjusted, for the one or more campaigns; and repeating (2)-(4) at one or more periodic intervals. Other embodiments are disclosed herein.

Systems and methods for improved online predictions

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San Francisco, CA, United States of America

Georgios Rovatsos