Stochastic Simulation for Information Retrieval Evaluation:
Effectiveness Scores
Description
Provides tools for the stochastic simulation of effectiveness scores to mitigate
data-related limitations of Information Retrieval evaluation research, as described in Urbano and
Nagler (2018) . These tools include: fitting, selection and plotting
distributions to model system effectiveness, transformation towards a prespecified expected value,
proxy to fitting of copula models based on these distributions, and simulation of new evaluation
data from these distributions and copula models.