(Vector) Space is Not the Final Frontier: Product Search as Program Synthesis

Jacopo Tagliabue, Ciro Greco
4/22/2023
cs.IRcs.CLcs.LG

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Abstract

As ecommerce continues growing, huge investments in ML and NLP for Information Retrieval are following. While the vector space model dominated retrieval modelling in product search - even as vectorization itself greatly changed with the advent of deep learning -, our position paper argues in a contrarian fashion that program synthesis provides significant advantages for many queries and a significant number of players in the market. We detail the industry significance of the proposed approach, sketch implementation details, and address common objections drawing from our experience building a similar system at Tooso.

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@article{tagliabue2023vector,
  title  = {(Vector) Space is Not the Final Frontier: Product Search as Program Synthesis},
  author = {Jacopo Tagliabue and Ciro Greco},
  year   = {2023},
  eprint = {2304.11473},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2304.11473v2}
}

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