Directed Research Project Details
A comparison of LSA, WordNet and PMI-IR for predicting user click behavior.
| Author: | Isha Kaur |
|---|---|
| Date: | February 17, 2004 |
| Time: | 8:45 |
| Location: | 220 Deschutes |
| Committee: | Anthony Hornof (Chair) Melody Ivory University of Washington Michal Young |
Abstract
A predictive tool to simulate human visual search behavior would help interface designers 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 textual matches between goal and target. 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 predicted human performance as observed in a user study.