recommender systems, expert systems, fuzzy logic,fuzzy recommender system, popularity recommender system

The common contemporary recommendationmethods were assessed for recommending relevant news articlesin the Czech language. We used a TF-IDF vectorization withcosine similarity for content-based recommendations andsingular value decomposition for collaborative filtering. Thesimplest model was the popularity model based on the votecounts of other users. While the best days of expert systems seemto be gone in the era of more sophisticated neural networkmodels, we also wanted to investigate whether expert systemscan still show some benefits in providing relatively simple andexplainable methods for an ensemble of recommendations. Wealso used a Bayesian-inspired approach for the hybrid methodensemble. This work aimed to test the fundamentalrecommendation techniques on smaller datasets with non-English language using three predictors: user interactions bylike button, click-throughs (and article text itself). Despite therecent popularity of the neural network models, we found thatsimple models outperformed the models with neural networkson our dataset.

The common contemporary recommendationmethods were assessed for recommending relevant news articlesin the Czech language. We used a TF-IDF vectorization withcosine similarity for content-based recommendations andsingular value decomposition for collaborative filtering. Thesimplest model was the popularity model based on the votecounts of other users. While the best days of expert systems seemto be gone in the era of more sophisticated neural networkmodels, we also wanted to investigate whether expert systemscan still show some benefits in providing relatively simple andexplainable methods for an ensemble of recommendations. Wealso used a Bayesian-inspired approach for the hybrid methodensemble. This work aimed to test the fundamentalrecommendation techniques on smaller datasets with non-English language using three predictors: user interactions bylike button, click-throughs (and article text itself). Despite therecent popularity of the neural network models, we found thatsimple models outperformed the models with neural networkson our dataset.