Graduate Research Forum Details
A comparison of LSA, WordNet and PMI-IR for predicting user click behavior
|Date:||October 26, 2004|
A predictive tool to simulate human visual search behavior would help interface designers to inform and validate their design. Such a tool would benefit from a semantic component that would help predict search behavior even in the absence of exact matches. This paper discusses a comparison of three semantic systems - LSA, WordNet and PMI-IR - to evaluate their performance in predicting the link that people would select given an information goal and a webpage. PMI-IR best predicts the human performance.