  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.

Information Retrieval;Computation and Language;Machine Learning