Privacy considerations on using popularity-contest data for recommendations

Speaker: Lucas Albuquerque Medeiros de Moura

Type: BoF (45 mins)

Room: Menzies 13

Time: Jul 07 (Thu), 11:10

AppRecommender is a package recommender system for Debian systems (and derivatives).

Currently, AppRecommender only uses content-based recommendation strategies. One idea is for the application to also support collaborative recommendations, which would recommend packages based on users with similar package profiles. However, in order to do that, Popularity-contest data would be required. Therefore, this talk will discuss how this data can be used and also raise some security and privacy concerns about using them.

AppRecommender went through NEW during Debconf and is already available in unstable.


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