Athlete Recommender System Based on Collaborative Filtering
| Autor: | Čagalj, Luka |
|---|---|
| Přispěvatelé: | Delač, Goran |
| Jazyk: | chorvatština |
| Rok vydání: | 2018 |
| Předmět: |
TEHNIČKE ZNANOSTI. Računarstvo
suradničko filtriranje temeljeno na memoriji sustavi preporuka suradničko filtriranje suradničko filtriranje temeljeno na susjedstvu korisnika suradničko filtriranje temeljeno na sličnosti stavki uslužna matrica kosinusna sličnost Pearsonov koeficijent korelacije memory-based collaborative filtering TECHNICAL SCIENCES. Computing collaborative filtering utility matrix cosine similarity Pearson correlation coefficient item-to-item collaborative filtering Recommender system neighbourhood-based collaborative filtering |
| Popis: | Generiranje preporuka jako je popularan koncept i mnoga istraživanja posvećena su poboljšanju efikasnosti ovakvih sustava. Suradničko filtriranje primjer je tehnike koja se aktivno koristi. Svrha ovog rada jest detaljnije pojasniti koncepte spomenutog pristupa. Ostvaren je sustav koji se temelji na osnovnoj implementaciji suradničkog filtriranja i pomoću njega generirane preporuke sportaša. Generating recommendations is a very popular concept, and many researches are devoted to improving the efficiency of such systems. Collaborative filtering is a technique that is actively used. The purpose of this paper is to clarify the concepts of this approach. What we accomplished is a system based on the basic implementation of collaborative filtering and athlete's reccomendations generated using that implementation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|