  Large eCommerce players introduced comparison tables as a new type of
recommendations. However, building comparisons at scale without pre-existing
training/taxonomy data remains an open challenge, especially within the
operational constraints of shops in the long tail. We present preliminary
results from building a comparison pipeline designed to scale in a multi-shop
scenario: we describe our design choices and run extensive benchmarks on
multiple shops to stress-test it. Finally, we run a small user study on
property selection and conclude by discussing potential improvements and
highlighting the questions that remain to be addressed.
