Open
Description
On the version of the BP with neural, using the ecommerce dataset:
https://github.com/algolia/boilerplate-demo-with-neural
https://www.algolia.com/apps/BK21ZZC2XK/query-categorization/ecommerce/predictions
App: BK21ZZC2XK
Index: ecommerce
User story 1: Auto filter and boost (have query cat auto boost products from the matching category)
- enable it in the dashboard
- find a query it works for
- test it in the dashboard
- test it in the frontend
- expose when it's happening in the frontend, inside the algolia explain rules panel
- add a toggle in the demo help panel to turn on and off the auto filter and boost
- using algolia.com/doc/guides/building-search-ui/going-further/automatic-filtering/react-hooks/
User story 2: Suggest a category to add a refinement to your query
- It's implemented in the BP but check that it actually works :)
User story 3: Within the categories facet, reorder the facet values so the matching categories are on the top
User story 4: On no/low results page, make an empty search with a filter for the predicted category