Recommender Systems IS-FCS-00086

Description:
1. Overview of recommenders systems on the Internet.
2. Types of recommenders systems: niespersonalizowane, collaborative filtering, content-based
and knowledge-based.
3. Systems CF: user-based and item-based. Similarity measure.
4. The content-based systems. Use of VSM.
5. Examples of the use of content-based systems, SRC.
6. Evaluation of recommender systems. Measures of precision, recall, MAE, RMSE.
7. Problems recommenders systems.
8. The use of grouping algorithms to improve time efficiency systems
recommenders.
9. Examples of systems based on the grouping of recommenders. RecTree, IBCF, CBIBCF.
10. Summary.

Requirements: