The question we figured out we need to answer is: what type of outfit ideas are people looking for, and how do they describe their needs? And then, how can we match those needs with relevant content.
So what we did (what we do) is look at people's queries, and also at how people describe their clothes, their outfits or albums (combinations of outfits, like pinterest boards). There is a lot of data here, millions of keywords, but many of them are similar (pants and trousers, or pantalones in Spanish). So we’ve extracted the main concepts (pants) and built a system of equivalences. Basically, now, we know “all” the needs people have when it comes to deciding what to wear, and have a pretty complete view of different ways of describing those needs, and how good the system is at responding to those needs (database of outfits).
aldamiz|8 years ago
The question we figured out we need to answer is: what type of outfit ideas are people looking for, and how do they describe their needs? And then, how can we match those needs with relevant content.
So what we did (what we do) is look at people's queries, and also at how people describe their clothes, their outfits or albums (combinations of outfits, like pinterest boards). There is a lot of data here, millions of keywords, but many of them are similar (pants and trousers, or pantalones in Spanish). So we’ve extracted the main concepts (pants) and built a system of equivalences. Basically, now, we know “all” the needs people have when it comes to deciding what to wear, and have a pretty complete view of different ways of describing those needs, and how good the system is at responding to those needs (database of outfits).