I discuss nearly this exact use case my Lucene Rev talk 'Taxonomical Semantical Magical Search'
https://www.youtube.com/watch?v=90F30PS-884 A common theme in my work with search UX is that users (especially in B2C contexts) increasingly don't want to use filters/facets. They want highly relevant, accurate results. Hope that helps -Doug On Fri, Jul 6, 2018 at 10:26 PM Sreenivas.T <sree...@gmail.com> wrote: > Hi, > > It's a common use case in ecommerce world and I would like to hear best > approaches to implement them. What are the options to implement "red shoes" > (color category), "Men's bikes" (Gender category) or "Samsung TV" (brand > catgeory) kind of queries? > > is it better to implement using filters like color, gender, category, > brand? or should we be searching and boost the results on those fields? We > may need to some query preprocessing to identify the filters for filter > query. > > I know its business decision and mainly involves in recall vs precision. > But I would like to hear suggestions. > > Thanks & regards, > Sreenivas > -- CTO, OpenSource Connections Author, Relevant Search http://o19s.com/doug
