This document describes several algorithms for calculating relevance scores between queries and documents. It discusses TF-IDF scoring, where term frequency is multiplied by inverse document frequency. It also describes using cosine similarity to calculate image similarity based on visual features. Finally, it discusses combining base ranking scores with image similarity scores.