Intention Prediction in Search Engines Using Causal Bayesian Networks
James Haarbauer, Jonathan Abdo · Purdue University Indianapolis (Indiana University) · 2015
This project will be taking sample data from search engine logs from Excite, Altavista, and Alltheweb. These logs will be parsed and a sorting algorithm will be used to associate words that are frequently used together to build a Causal Bayes’ Network. A database of images will be used to represent concepts tied to theses search terms and will be ranked with causal inference values to return an appropriately related image.