Server-side product indexing and search
Revision as of 16:50, 19 May 2020 by Stephane (talk | contribs) (Stephane moved page Server-side product similarity indexing and search to Server-side product indexing and search)
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
Server-side product indexing and search - Functional Specs
Technical specs
Server-side product indexing and search - Technical Specs