Marco Rossetti

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- Senior Data Scientist at Trainline, working on data products for smarter journeys. Expert in exploring and analysing data, designing and developing algorithms for recommender systems and machine learning products, and evaluating them with offline and online metrics. - Previous experiences at Mendeley, designing and developing recommender systems for articles to read and researchers to follow, and at Connexun, designing and developing a news articles machine learning pipeline. - PhD in Computer Science, expert in Recommender Systems (Collaborative Filtering, Matrix Factorization, Content-Based), Data Mining (Classification, Clustering) and Text Mining (Topic Model). - Visiting student fo...

recommender systems mendeley big data busybot data science cloud computing smarter journeys data engineering serverless architecture trains experimental within users design user study evaluation methodology recsysnl personalization visualization information extraction

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Marco Rossetti

Data Science at Trainline for Smarter Journeys

Contrasting Offline and Online Results when Evaluating Recommendation Algorithms

Research recommendations at Mendeley

Recommender systems and information extraction for researchers