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.
@article{arxiv.2107.03256,
title = {"Are you sure?": Preliminary Insights from Scaling Product Comparisons to Multiple Shops},
author = {Patrick John Chia and Bingqing Yu and Jacopo Tagliabue},
journal= {arXiv preprint arXiv:2107.03256},
year = {2021}
}