In the era of internet access, recommender systems try to alleviate the difficulty that
consumers face while trying to find items (eg, services, products, or information) that better …

We propose a method to improve the prediction performance of recommender systems via a
Dual (user anditem) Training Error based Correction approach (DTEC). The proposed …

Recommender systems try to provide users with accurate personalized suggestions for
items based on an analysis of previous user decisions and the decisions made by other …

We propose a recommender system to detect personalized video summaries, that make
visual content interesting for the subjective criteria of the user. In order to provide accurate …

In the last decade, community detection in dynamic networks has received increasing
attention, because it can not only uncover the community structure of the network at any time …

We propose a Dual Hybrid Recommender System based on SCoR, the Synthetic
Coordinate Recommendation system, and the Random Forest method. By combining user …

A motion picture content rating system categorizes a film based on its appropriateness for
various audiences, considering factors such as portrayals of sex, violence, substance abuse …

Normalized mutual information (NMI) is a widely used metric for performance evaluation of
community detection methods, recently proven to be affected by finite size effects. To …

Recommender systems try to predict the preferences of users for specific items. These
systems suffer from profile injection attacks, where the attackers have some prior knowledge …

We propose a flow propagation algorithm (FlowPro) that finds the community surrounding a
node in a complex network. In each iteration of the main process of FlowPro, the initial node …