20.500.12556/DKUM-59775 Implementacija priporočilnega sistema na osnovi grafa, izdelanega iz n-teric Implementation of a Recommender System Based on a Graph Extracted from Itemsets V magistrskem delu je opisano področje priporočilnih sistemov. Zapisali smo njihovo formalno definicijo, naloge, ki jih opravljajo, ter vire podatkov in znanja. Navedli smo različne tehnike podajanja priporočil ter opisali pristope k uspešni evalvaciji priporočilnih sistemov. V praktičnem delu smo izdelali priporočilni sistem za priporočanje programskih ogrodij, namenjen programerjem. Implementirali smo tri priporočilne algoritme, ki bazirajo na podatkih v obliki grafa, in jih primerjali z algoritmom na osnovi asociacijskih pravil. Algoritme smo optimizirali in testirali na podatkih, pridobljenih s spletnega portala Stack Overflow. Pridobljeni rezultati nakazujejo, da ima uporabljen pristop visok potencial ter da je v pravih razmerah smiseln in uporaben. The thesis addresses the area of recommender systems. We described their formal definition, tasks, data and knowledge sources. Furthermore, we defined various recommender techniques as well as approaches to the successful evaluation of recommender systems. Our empirical work covers the construction of a recommender system for programmers, which recommends frameworks. We implemented three recommender algorithms, which are based on graph data, as well as one based on association rules. We optimized the algorithms and tested them on data obtained from the website Stack Overflow. The results suggest that the approach has high potential and that it is reasonable and useful in the right circumstances. priporočilni sistem graf naključni sprehod asociacijska pravila recommender system graph random walk association rules true true false L. Mažgon Slovenski jezik Angleški jezik Magistrsko delo/naloga 2016-05-27 08:12:55 2016-07-04 14:49:18 2022-06-21 03:07:14 2019-07-11 11:24:59 2016 0 [Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.4'275:004.021(043.2) 19796758 URN:SI:UM:DK:ORSNWQOR MAG_Mazgon_Lovro_2016.pdf MAG_Mazgon_Lovro_2016.pdf 1 AE2F04180CEC1893003409E9177F03E0 e2070a873cdc8d25779bfd1642fea834147662aee4ff23ee5a3852dbe6f73640 903af4cc-7c0c-11eb-bb7a-00155d0001ca https://dk.um.si/Dokument.php?lang=slv&id=92795 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0