Inferring User Preferences by Probabilistic Logical Reasoning over Social Networks
Table 3: Accuracy of different models for predicting location.
['Model Random', 'Acc 0.093', 'Model Unified', 'Acc 0.114']
As expected, friend-observed outperforms friend-latent, detecting locations with an accuracy of about 0.35. only-network and only-like models, where evidence is partially considered, consistently underperform settings where evidence is fully considered. Logic networks, which are capable of capturing the complicated interaction between factors and features, yield better performance than traditional SVM and Naive Bayes classifiers.