Content-based Recommender System for Textual Documents Written in Croatian
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| Názov: | Content-based Recommender System for Textual Documents Written in Croatian |
|---|---|
| Autori: | Kavran, Natalija, Kavran, Zvonko, Cvitić, Ivan, Šemanjski, Ivana |
| Informácie o vydavateľovi: | 2013. |
| Rok vydania: | 2013 |
| Predmety: | recommender system, k-nearest neighbour, text mining, content-based classification, document-term matrix |
| Popis: | The paper describes a content-based recommender system that classifies textual documents written in Croatian. We describe how documents are pre- processed, including procedures of dimensionality reduction, selection of stop- words and creation of document-term matrix. For the text classification, a combination of v- fold cross validation and k - nearest neighbours (kNN) methods is used. This way, the ‘optimal’ value of k is firstly analyzed, and the results of v-fold cross validation are applied for the selection of value k. Results are given in the form of classification error analysis. |
| Druh dokumentu: | Conference object |
| Prístupové číslo: | edsair.dris...01492..28a2c381f360dd797051257b7a1d2532 |
| Databáza: | OpenAIRE |
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