Nicola Barbieri

80 Followers

7 SlideShares 80 Followers 69 Followings

I am a Research Scientist at Yahoo Labs - London. I received my PhD in System Engineering and Computer Science from the University of Calabria, Italy in 2013. My research focuses on the development of data mining and machine learning techniques for recommendations, tracking information diffusion, viral marketing and community detection in social networks. Before joining Yahoo in 2012, I was a fellow researcher at ICAR-CNR, where my activities focused on probabilistic topic models and their application to collaborative filtering scenarios. I am a co-author of the book "Probabilistic Approaches to Recommendations" published by Chapman & Hall/CRC Pres

data mining social networks social network social media marketing ecmlpkdd2015 graph mining community detection hidden markov models icdm2014 topic models. recommender systems product design social influence marketing

Activity
About

Nicola Barbieri

Presentations

Influence-based Network-oblivious - ICDM 2013

Influence maximization with viral product design

Who to follow and why: link prediction with explanations

Modeling adoptions and the stages of the diffusion of innovations

Community detection in graphs

Effective community search_dami2015

Homophily and influence in social networks

Likes

[QCon.ai 2019] People You May Know: Fast Recommendations Over Massive Data

Tagging Text in Money Transfers: A Use Case of Apache Spark in Production for Banking with Jose Roriguez Serrano

Extending DevOps to Big Data Applications with Kubernetes

Aslay Ph.D. Defense

The Power of Both Choices: Practical Load Balancing for Distributed Stream Processing Engines

A Bayesian Model for Recommendation in Social Rating Networks with Trust Relationships

Dp idp exploredb