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Graph-Based Recommendations: Make the Most Out of Social Data.

, , , , and . UMAP, volume 8538 of Lecture Notes in Computer Science, page 447-458. Springer, (2014)

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Watching videos from everywhere: a study of the PPTV mobile VoD system., , , , , , and . Internet Measurement Conference, page 185-198. ACM, (2012)Betrayed by Your Ads! - Reconstructing User Profiles from Targeted Ads., , and . Privacy Enhancing Technologies, volume 7384 of Lecture Notes in Computer Science, page 1-17. Springer, (2012)Cross social networks interests predictions based ongraph features., , , , and . RecSys, page 319-322. ACM, (2013)Touch and You're Trapp(ck)ed: Quantifying the Uniqueness of Touch Gestures for Tracking., , , and . Proc. Priv. Enhancing Technol., 2018 (2): 122-142 (2018)On the potential of recommendation technologies for efficient content delivery networks., , and . Comput. Commun. Rev., 43 (3): 74-77 (2013)Privacy in content-oriented networking: threats and countermeasures., , , and . Comput. Commun. Rev., 43 (3): 25-33 (2013)Unsupervised Learning for security of Enterprise networks by micro-segmentation., , and . CoRR, (2020)The Value of Collaboration in Convex Machine Learning with Differential Privacy., , , and . CoRR, (2019)Exploring the Distinctive Tweeting Patterns of Toxic Twitter Users., , , , , and . CoRR, (2024)A deep dive into the consistently toxic 1% of Twitter., , , , , and . CoRR, (2022)