Yuki Yano

Quantifying Query Ambiguity with Topic Distributions

2016

Query ambiguity is a useful metric for search engines to understand users' intents. Existing methods quantify query ambiguity by calculating an entropy of clicks. These methods assign each click to a one-hot vector corresponding to …