Modeling user behavior using a search-engine
Maeve O’Brien, Mark T. Keane · 2007
A model of user-search-engine interaction is developed using the ACT-R cognitive architecture. We test, using an empirical evaluation, the model across different result orderings and relevance distributions, demonstrating that across a number of trials, the model approximates the characteristics of large numbers of users interacting with search-engines. These results are discussed in terms of their practical implications for search interfaces and ranking algorithms.