International Summer School and Workshop "Logic, Information and Uncertainty" MCIN: Mezinárodní centrum pro informaci a neurčitost


The program of summer school consists of a series of lectures by Associate Professor Dmitry I. Ignatov on recommender systems.

Wednesday (May 29)

13:55 - 14:00Opening
14:00 - 14:30Lecture 1: Intro to recommender systems. Non-personalised and content-based systems.
14:30 - 15:30Lecture 2: Collaborative filtering (user-based and item-based). Similarity measures. Bimodal cross-validation. Practice in ipython. Similarity aggregation in collaborative filtering.
15:30 - 16:00Refreshment
16:00 - 17:00Lecture 3: Frequent itemset mining for web advertising and web audience exploration.

Thursday (May 30)

9:00 - 9:30Breakfast
9:30 - 10:30Lecture 4: BMF versus SVD for collaborative filtering. Context-aware recommender systems: incorporation of side-information.
10:30 - 11:30Lecture 5: Advanced matrix factorisation. PureSVD, NMF, SVD++, timeSVD. Factorisation Machines. Practice in ipython.
11:30 - 13:00Lunch (on everyones' own)
13:00 - 13:45Lecture 6: Hybrid recommender systems. Radiostation recommendations.
13:45 - 14:30Lecture 7: Quality evaluation. Ranking vs. rating prediction. Towards a proper metric for recommender algorithm: ImhoNet Case.
14:30 - 15:30Lecture 8: Selected advanced topics: spectral clustering and deep learning based examples.
15:30 - 16:00Refreshment
16:00 - 18:00Workshop: Discussion, Q&A and PhD students' presentations
19:00 -  Social event


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Contact Information:
E-mail:jan.outrata (at)
International Centre for Information and Uncertainty
Faculty of Science, Palacky University, Olomouc
Tr. 17. Listopadu 12, 771 46 Olomouc
Czech Republic