In this paper we illustrate the use of Nonnegative Matrix Factorization (NMF) to analyze real
data derived from an e-learning context. NMF is a matrix decomposition method which …

With the increasing use of Learning Management Systems, people who use them have
gotten new opportunities to access knowledge through the Internet. This has drawn attention …

Abstract The precision of Information Retrieval (IR) System is low due to imprecise user
queries as well as because of information overload on web. The Fuzzy set infers the user's …

Recommender systems are systems capable of assisting users by quickly providing them
with relevant resources according to their interests or preferences. The efficacy of a …

RESUMO A Web é uma importante fonte para as pessoas que buscam informações de
saúde. A Web, entretanto, está aberta a diversos tipos de editores e provedores de …

This work describes a novel fuzzy logic system designed to meet the real world demand of
providing intelligent ranking to large repositories of documents previously encoded with non …

Information on the web is growing huge in size and retrieval of relevant information from the
web is a big challenge for search engines. Search engines retrieve huge set of documents …

Indian tourism is one of the rapid growing industries that play an important role in country
economies. It is not easy to get smart suggestions for place and accommodation to …

In recommender systems, the task of automatically deriving user profiles, encoding the
actual preferences of users, covers a fundamental role. In this paper, we propose a strategy …

针对现有用户兴趣预测模型未考虑邻居节点影响, 长期兴趣与短期兴趣的区分等不足,
提出一种基于RBF 神经网络的微博用户兴趣预测模型, 增强微博兴趣预测准确度 …