Hybrid recommendation methods in complex networks

Hybrid recommendation methods in complex networks

We propose two recommendation methods, based on the appropriate normalization of already existing similarity measures, and on the convex combination of the recommendation scores derived from similarity between users and between objects. We validate the proposed measures on three data sets, and we compare the performance of our methods to other recommendation systems recently proposed in the lit...

Hybrid Recommendation in Heterogeneous Networks

The social web is characterized by a wide variety of connections between individuals and entities. A challenge for recommendation is to represent and synthesize all useful aspects of a user’s profile. Typically, researchers focus on a limited set of relations (for example, person to person ties for user recommendation or annotations in social tagging recommendation). In this paper, we present a...

Synchronization analysis of complex dynamical networks with hybrid coupling with application to Chua’s circuit

Complex dynamic networks have been considered by researchers for their applications in modeling and analyzing many engineering issues. These networks are composed of interconnected nodes and exhibit complex behaviors that are resulted from interactions between these nodes. Synchronization, which is the concept of coordinated behavior between nodes, is the most interested behavior in these netwo...

Hybrid Recommendation System

Recommendation systems are widely used in e-commerce companies like Amazon and Netflix to help users discover items that might interest them. Due to their wide applicability, recommendation systems have become an area of active research. We do a comparative study on the different algorithms used to do recommendation popularly and build a hybrid model out of them. Introduction Various algorithms...

Resampling Methods in Complex Survey Data