Recommender Systems & Information Retrieval course for AI Masters.
week_01: Introduction to RecSys & IR course.
week_02: Introduction to Information Retrieval, text processing, inverted index and boolean retrieval methods.
week_03: Ranked retrieval, TF-IDF, BM25, search quality measuring.
week_04: Recommendation systems, collaborative filtering methods.
week_05: Recommendation systems, content filtering methods, hybrid methods.
week_06: LTR, Multilevel systems
week_07: Neural networks for Information Retrieval
week_08: Sequential Recommendation
week_09: Diversity
week_10: Recsys challenges
week_11: Graph recommendation
week_12: Query autocompletion
hw_1: Search engine with positional inverted index and proximity operators.