Papers by Shankar Vishwanath
Augmenting Training Data for Massive Semantic Matching Models in Low-Traffic E-commerce Stores (2022.naacl-industry)
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Ashutosh Joshi, Shankar Vishwanath, Choon Teo, Vaclav Petricek, Vishy Vishwanathan, Rahul Bhagat, Jonathan May
| Challenge: | Existing methods to augment training data for e-commerce stores using behavioral data are limited in low-traffic stores . eXtreme multi-label classification systems require large amounts of customer behavior data . |
| Approach: | They propose a technique that augments behavioral training data via query reformulation . they use an example semantic matching model from the e-commerce store AL-XMC . |
| Outcome: | The proposed method improves quality of the AL-XMC model over a baseline model. |