09h00 – 09h15: Welcome & introductions: launch of RecSysChallenge Workshop 2012 – Slides
09h15 – 10h00: Session “Working with Datasets”
- The MovieLens dataset – Michael Ekstrand [15']
- Mendeley’s data and perspective on data challenges – Kris Jack [15'] Slides
- Processing Rating Datasets for Recommender Systems’ Research: Preliminary Experience from two Case Studies - Giannis Stoitsis, George Kyrgiazos, Georgios Chinis, Elina Megalou [15'] Slides
10h00 – 10h30: Session “Algorithms & Experiments”
- Usage-based vs. Citation-based Methods for Recommending Scholarly Research Articles - André Vellino [15'] Slides
- Cross-Database Recommendation Using a Topical Space - Atsuhiro Takasu, Takeshi Sagara, Akiko Aizawa [15'] Slides
10h30 – 11h00: Coffee break
11h00 – 12h30: Session “Putting in Real Use”
- From a toolkit of recommendation algorithms into a real business: the Gravity R&D experience – Domonkos Tikk [30'] Slides
- Selecting algorithms from the plista contest to deliver plista’s ads and editorial content on premium publisher’s websites - Torben Brodt [30'] Slides
- Mendeley Suggest: engineering a personalised article recommender system - Kris Jack [30'] Slides
12h30 – 14h30: Lunch break
14h30 – 15h30: Session “Frameworks, Libraries & APIs” – Introduction
- Hands-on Recommender System Experiments with MyMediaLite - Zeno Gantner [15'] Slides
- Using Apache’s Mahout and Contributing to it - Sebastian Schelter [15'] Slides
- Flexible Recommender Experiments with Lenskit - Michael Ekstrand [15'] Slides
15h30 – 17h30: Session “Frameworks, Libraries & APIs” – Hands On
- Breakout in groups working with the presented frameworks, libraries and APIs – using dataset samples from this year’s challenge [120']
17h30 – 18h00: Wrap up and ideas for future RecSys Data Challenges