Want Answers?A Reddit Inspired Study on How to Pose Questions
TABLE V: Average Precision (AP) gains for temporal and redundancy factors over a random baseline. See Section V-A3 for details.
['Domain', 'Temporal Factor Feature 1', 'Temporal Factor Feature 2', 'Redundancy']
In addition to classifier’s AUC score, we measured effect of temporal factors using Alternative Precision (AP) as well. For questions in a given domain, AP is computed over two ordering of the questions in that domain: (1) ordering of all questions based on the value of the temporal factor features; and (2) randomly shuffled question sequences. Percentage AP gains of the feature-based ranking over the random ranking From this, we observe the clear trend that temporal factor features significantly aid in response prediction, sometimes with gains as high as 218%. We think that the responder is initially exposed to far lesser number of questions compared to a situation in the middle or towards the end of the IAmA when the number of questions demanding his or her attention are huge.