Physical Sciences and Mathematics Commons^™

Evaluation And Assessment Of Recommenders Using Monte Carlo Simulation, Renato Costa, Luiz Fernando Capretz

Luiz Fernando Capretz

There have been various definitions, representations and derivations of trust in the context of recommender systems. This article presents a recommender predictive model based on collaborative filtering techniques that incorporate a fuzzy-driven quantifier, which includes two upmost relevant social phenomena parameters to address the vagueness inherent in the assessment of trust in social networks relationships. An experimental evaluation procedure utilizing a case study is conducted to analyze the overall predictive accuracy. These results show that the proposed methodology improves the performance of classical recommender approaches. Possible extensions are then outlined.

Twitter Influence And Cumulative Perceptions Of Extremist Support: A Case Study Of Geert Wilders, Gabrielle Blanquart, David M. Cook

Dr. David M Cook

The advent of Social media has changed the manner in which perceptions about power and information can be influenced. Twitter is used as a fast‐paced vehicle to deliver short, succinct pieces of information, creating the perception of acceptance, popularity and authority. In the case of extremist groups, Twitter is one of several avenues to create the perception of endorsement of values that would otherwise gain less prominence through mainstream media. This study examines the use of Twitter in augmenting the status and reputation of anti‐Islam and anti‐immigration policy through the controlled release of social media information bursts. The paper demonstrates …

Birds Of A Feather Deceive Together: The Chicanery Of Multiplied Metadata, David M. Cook

Dr. David M Cook