That article is very basic and fluffy, but the more technical article that it is based on and links to is excellent, so thanks for (indirectly) pointing to it:

That article is very basic and fluffy, but the more technical article that it is based on and links to is excellent, so thanks for (indirectly) pointing to it: https://hanxiao.io/2018/01/10/Build-Cross-Lingual-End-to-End-Product-Search-using-Tensorflow/ https://hanxiao.io/2018/01/10/Build-Cross-Lingual-End-to-End... The other stuff on that guy's (Han Xiao's) blog also looks interesting. I think this neural search stuff explains why we're all getting such low-precision results on Google/DDG by the standards we were used to. But, the claimed advantages are impressive. This is a big change in how search engines work, and I was unfamiliar with it before. I still have reservations about where enough training data is supposed to come from, without already having a big system and user base. But, maybe some more info about that is out there. So this is another thing to look into. Wow.