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.

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

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

Personalized Query Auto-Completion Through a Lightweight Representation of the User Context

no code implementations • 3 May 2019 • Manojkumar Rangasamy Kannadasan, Grigor Aslanyan

The ranking model with the proposed features results in a $20-30\%$ improvement over the MPC model on all metrics.

Personalized Ranking in eCommerce Search

no code implementations • 30 Apr 2019 • Grigor Aslanyan, Aritra Mandal, Prathyusha Senthil Kumar, Amit Jaiswal, Manojkumar Rangasamy Kannadasan

We address the problem of personalization in the context of eCommerce search.

Re-Ranking Semantic Similarity +1