Inferring User Preferences by Probabilistic Logical Reasoning over Social Networks
Table 10: Performances of different models for like/dislike mention prediction.
['Model', 'Pre', 'Rec', 'F1']
We tested relation prediction on the detection of the three relations defined in section 2: friend, spouse and LiveInSameLocation. Positive training data is selected from pairs of users among whom one specific type of relation holds while random user pairs are used as negative examples. As can be seen, the logic models consistently yield better performances than SVMs on relation prediction tasks due to their power in leveraging the global interactions between different sources of evidence.