Corpus ID: 236087266

Neural Search: Learning Query and Product Representations in Fashion E-commerce

@article{Kumar2021NeuralSL,
  title={Neural Search: Learning Query and Product Representations in Fashion E-commerce},
  author={Lakshya Kumar and Sagnik Sarkar},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.08291}
}
Typical e-commerce platforms contain millions of products in the catalog. Users visit these platforms and enter search queries to retrieve their desired products. Therefore, showing the relevant products at the top is essential for the success of e-commerce platforms. We approach this problem by learning low dimension representations for queries and product descriptions by leveraging user click-stream data as our main source of signal for product relevance. Starting from GRU-based architectures… Expand

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