Trivia quiz mining using probabilistic knowledge

Taesung Lee, Seung-won Hwang, Zhongyuan Wang

Abstract: Recent work suggests that providing unexpected information is an important factor for drawing user traffic. Such examples can be easily found in the “Did you know” section of the Wikipedia main page, the ESPN quiz, the Google Doodles, and the Bing main page. Inspired by these applications, we propose a novel trivia quiz mining asking unexpected questions for a given entity. We solve this problem by linking different types of social media as input and output, and mine unexpected properties based on prototype theory to mediate the input and the output media.