Selection of clusters based on internal indices in multi-clustering collaborative filtering recommender system von Kużelewska, Urszula

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Selection of clusters based on internal indices in multi-clustering collaborative filtering recommender system von Urszula Kużelewska

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Effect of Dataset Size on Efficiency of Collaborative Filtering Recommender Systems with Multi-clustering as a Neighbourhood Identification Strategy von Kużelewska, Urszula

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Dynamic Neighbourhood Identification Based on Multi-clustering in Collaborative Filtering Recommender Systems von Kużelewska, Urszula

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Clustering Algorithms in Hybrid Recommender System on MovieLens Data von Kuzelewska, Urszula

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Quality of Recommendations and Cold-Start Problem in Recommender Systems Based on Multi-clusters von Kużelewska, Urszula

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Multi-clustering Used as Neighbourhood Identification Strategy in Recommender Systems von Kużelewska, Urszula

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Collaborative Filtering Recommender Systems Based on k-means Multi-clustering von Kużelewska, Urszula

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Clustering Algorithms for Efficient Neighbourhood Identification in Session-Based Recommender Systems von Kużelewska, Urszula

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Development of Digital Competences of Elementary School Teachers with a Life-Long Learning Approach von Czołombitko, Michał, Grześ, Tomasz, Kopczyński, Maciej, Kużelewska, Urszula, Lupińska-Dubicka, Anna, Mozyrska, Dorota, Panasiuk, Joanna

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Data Sparsity and Cold-Start Problems in M-CCF\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy}... von Kużelewska, Urszula

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Information Granulation: A Medical Case Study von Kużelewska, Urszula, Stepaniuk, Jarosław

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Impact of Learning Data Statistics on the Performance of a Recommendation System Based on MovieLens Data von Kużelewska, Urszula, Falkowski, Michał

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