METHOD AND SYSTEM FOR RANKING SEARCH RESULTS BASED ON CATEGORY DEMAND NORMALIZED USING IMPRESSIONS

Described herein are methods and systems for promoting item listings that satisfy a query based on the item listings being assigned to certain categories that have, based on historical click data, exhibited high demand characteristics for the query. Consistent with some embodiments, a certain number of leaf-level categories are identified based on demand data for those categories, and the item listings assigned to those categories are promoted through a normalized weighting factor derived in part based on the click probability score associated with the category, clicks per impression rate, and weighted clicks per impression by ranking rate.