Abstract: Example systems and methods that rank search results based on color are described. In one implementation, a method receives a product search query from a user and identifies a reference to a color in the product search query. The product search query is executed to identify multiple products. The method further identifies references to the color in a title or a description of each of the multiple products. A ranking of the multiple products is created by increasing the ranking of products that include a reference to the color in the title or the description.

Abstract: Example systems and methods that select search result images are described. In one implementation, a method accesses a ranking of multiple products associated with a search query and identifies a reference to a color in the search query. The method identifies a first product from the ranking of multiple products and identifies multiple product images associated with the first product. A color determination is made regarding each of the multiple product images. A product image having an associated color that is most similar to the color in the search query is selected for presentation in the search results.

Abstract: Example systems and methods that rank search results are described. In one implementation, a method receives an initial search query from a user and identifies a reference to a color in the initial search query. A second search query is created by re-writing the initial search query without reference to the color in the initial search query. The second search query is executed to identify multiple products. The method identifies a particular product within the multiple products that includes the color in the initial search query and increases a ranking score associated with the particular product.

Abstract: A method for merging two taxonomies is disclosed. Top levels of first and second taxonomies are merged. For the second taxonomy nodes are evaluated and selectively merged with nodes of the first taxonomy according to comparison of scores for these nodes with a threshold. The score for a node of the first taxonomy is a combination of one or more of a lineage quality score, Jaccard distance, string edit distance, and category depth score. After an iteration, mergings between nodes of the first and second taxonomies may be reversed if child nodes of the merged nodes were not likewise merged. Iterations may be repeated until no nodes are merged in an iteration.