Server-side product indexing and search: Difference between revisions
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Revision as of 15:50, 19 May 2020
Summary
Server-side product similarity indexing and search is the 2nd of the 4 sub-tasks of the Project:Personalized_Search funded by the NGI0 Discovery Fund managed by NlNet.
This page documents the progress made in Q2 2020.
Overview
Diagram source: https://vecta.io/app/edit/-M2XyVv8ZoaLNrW-zQoT
1 The Open Food Facts mobile app (and 3rd party apps) make generic search requests that do not contain user preferences
1 The server returns a big number of generic results
1 The app uses the user preferences stored locally to personalize the search results
Functional specs
Search API
The search API is called by the app to retrieve a high number of generic search results (products) that match a query.
Match (required)
The search query needs to contain at least one required criteria.
Here are potential criteria that we could consider:
Match on category
The query specifies a category tag (e.g. en:cookies).
Optional filters
The search query can contain filters to restrict