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Found 3 papers, 1 papers with code
Privacy Tradeoffs in Predictive Analytics
Recent research has demonstrated that several private user attributes (such as political affiliation, sexual orientation, and gender) can be inferred from such data.
Recommending with an Agenda: Active Learning of Private Attributes using Matrix Factorization
Recommender systems leverage user demographic information, such as age, gender, etc., to personalize recommendations and better place their targeted ads.
Node Classification in Social Networks
When dealing with large graphs, such as those that arise in the context of online social networks, a subset of nodes may be labeled.
Social and Information Networks Physics and Society
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