Michele Trevisiol

124 Followers

I hold a PhD in Computer Science, and MS and BS in Computer Engineering. My background includes Data Mining/Web Mining, Multimedia and Information Retrieval, User Modeling, Recommendation Systems and Online Computational Advertising. I have vastly worked with large data collections such as Flickr, Yahoo News, Yahoo Query and Web logs, and as well on Twitter data. I have also done various researches on credit card user's transactions, Sentiment Analysis with Yahoo and Yelp data, and geographic localization of images and videos. My specialities are Apache Hadoop/PIG, Java, Python and R. But I also like to make websites playing with HTML5, Javascript and CSS.

flickr oral talk domain-specific browsing graphs sigir browsegraph pagerank local ranking problem graphs centrality algorithms user browsing behavior; recommendation system; imp urbanbeers prezi bbva challenge placing task location geotags video annotation image ranking social browsing browserank

Aktivität
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Michele Trevisiol

Präsentationen

UrbanBeers 2013 - BBVA Challenge Winner

Keynote @iSWAG2015

Presentation @SIGIR2015

Gefällt mir

Deploying Machine Learning Models to Production

Learning to Rank in Solr: Presented by Michael Nilsson & Diego Ceccarelli, Bloomberg LP

Past present and future of Recommender Systems: an Industry Perspective

Like Partying? Your Face Says It All. Predicting Place AMBIANCE From Profile Pictures

Random Forests R vs Python by Linda Uruchurtu

Kdd 2014 Tutorial - the recommender problem revisited

Recommender Systems (Machine Learning Summer School 2014 @ CMU)

Recommender Systems, Matrices and Graphs

Intro to Machine Learning by Microsoft Ventures

Data Workflows for Machine Learning - Seattle DAML

Implicit Feedback Recommendation via Implicit-to-Explicit Ordinal Logistic Regression Mapping

Diversità per Recommender Systems

Penguins in Sweaters, or Serendipitous Entity Search on User-generated Content

Top-N Recommendations from Implicit Feedback leveraging Linked Open Data

Learning to Rank for Recommender Systems - ACM RecSys 2013 tutorial

Tutorial on People Recommendations in Social Networks - ACM RecSys 2013,Hong Kong

Finding News Curators in Twitter

Dear NSA, let me take care of your slides.