RICHES TM Connections Tool Connie Harper Amy Larner Giroux, PhD + RICHES + RICHES Mosaic Interface + Item Detail + Bookbag + Analyze and Annotate + + Connections Spatial Distance Scaled for the archive Temporal Distance Scaled for the archive Topic Modeling Use the MALLET topic modeling algorithm to find items with the most similar topics Tags Distance Count the number of tags in common Spatial Distance Scaled for the archive Temporal Distance Scaled for the archive Topic Modeling Use the MALLET topic modeling algorithm to find items with the most similar topics Tags Distance Count the number of tags in common CriteriaWeight Time0.001 Location0.001 Topics0.9 Tags0.2 + Linear Aggregate Time Topics Time Topics + Testing + Round 1 4 subject matter experts RICHES and Charles Brockden Brown data Standard Information Retrieval (IR) Metrics Mean Average Precision Normalized Discounted Cumulative Gain Spearmans Footrule Round 2 3 subject matter experts RICHES data only via random, keyword, and Connections algorithm Standard comparative statistics Chi-squared, etc.