We derive a method to enhance the evaluation for a text-based Emotion Aware Recommender that we havedeveloped. However, we did not implement a suitable way to assess the top-N recommendationssubjectively. In this study, we introduce an emotion-aware Pseudo Association Method to interconnectdisjointed users across different datasets so data files can be combined to form a more extensive data file.Users with the same user IDs found in separate data files in the same dataset are often the same users.However, users with the same user ID may not be the same user across different datasets. We advocate anemotion aware Pseudo Association Method to associate users across different datasets. The approachinterconnects users with different user IDs across different datasets through the most similar users'emotion vectors (UVECs). We found the method improved the evaluation process of assessing the top-Nrecommendations objectively.