Influence of Neighborhood on the Preference of an Item in eCommerce Search

no code implementations • 10 Aug 2019 • Saratchandra Indrakanti, Svetlana Strunjas, Shubhangi Tandon, Manojkumar Rangasamy Kannadasan

Surfacing a ranked list of items for a search query to help buyers discover inventory and make purchase decisions is a critical problem in eCommerce search.

Learning-To-Rank

Addressing Purchase-Impression Gap through a Sequential Re-ranker

no code implementations • 27 Oct 2020 • Shubhangi Tandon, Saratchandra Indrakanti, Amit Jaiswal, Svetlana Strunjas, Manojkumar Rangasamy Kannadasan

It is critical for eCommerce search engines to showcase in the top results the variety and selection of inventory available, specifically in the context of the various buying intents that may be associated with a search query.

Learning-To-Rank

Conditional Sequential Slate Optimization

no code implementations • 12 Aug 2021 • YiPeng Zhang, Mingjian Lu, Saratchandra Indrakanti, Manojkumar Rangasamy Kannadasan, Abraham Bagherjeiran

To that end, we propose a hybrid framework extended from traditional slate optimization to solve the conditional slate optimization problem.