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, 09:00, 8 September 2020
== Summary ==
Client-side libraries for personalized product filtering and ranking is the 3rd of the 4 sub-tasks of the [[Project:Personalized_Search]] funded by the NGI0 Discovery Fund managed by NlNet.
== Overview ==
[[File:Open-food-facts-personalized-search-project-overview.png]]
Diagram source: https://vecta.io/app/edit/-M2XyVv8ZoaLNrW-zQoT
# The Open Food Facts mobile app (and 3rd party apps) make generic search requests that do not contain user preferences
# The server returns a big number of generic results
# The app uses the user preferences stored locally to personalize the search results
== User preferences ==
=== User preferences format ===
Hash of attribute ids with string values.
The list of attribute ids will be sent by the server, along with localized names, descriptions, warnings etc.
String values:
* unset
* not_important
* important
* very_important
* mandatory
String values are used instead of 0, 1, 2, 3, 4 etc. so that the JSON is clearer to understand for humans, and so that we have the flexibility to add other values later (e.g. "somewhat_important")
[[Category:Project:Personalized_Search]]
[[Category:ProductOpener]]