December 9, 2017
Comments Off on Dynamic Personalized Recommendation on Sparse Data
Posted in: .Net, IEEE 2017
DYNAMIC PERSONALIZED RECOMMENDATION ON SPARSE DATA ABSTRACT Recommendation techniques are very important in the fields of E-commerce and other Web-based services. One of the main difficulties is dynamically providing high-quality recommendation on sparse data. In this paper, a novel dynamic personalized recommendation algorithm is proposed, in which information contained in both ratings and profile contents […]
December 9, 2017
Comments Off on A Fast Clustering Based Feature Subset selection algorithm for high dimensional data
Posted in: .Net, IEEE 2017
A FAST CLUSTERING-BASED FEATURE SUBSET SELECTION ALGORITHM FOR HIGH-DIMENSIONAL DATA ABSTRACT Feature selection involves identifying a subset of the most useful features that produces compatible results as the original entire set of features. A feature selection algorithm may be evaluated from both the efficiency and effectiveness points of view. While the efficiency concerns […]