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

摘要

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.

主权项

1. A computer-implemented method comprising:
processing a query to identify a set of item listings, each item listing associated with an item or service being offered and assigned to a leaf-level category; obtaining for the query a click probability score for each leaf-level category to which an item listing satisfying the query has been assigned; identifying up to a predetermined number of leaf-level categories with click probability scores exceeding a threshold score; for each of the identified leaf-level categories, calculating a category boost score for use in determining the order in which the item listings are to be presented in a search results page; normalizing the category boost score for one or more identified leaf-level categories; and presenting a search results page with the item listings ordered based in part on the normalized category boost score for the leaf-level category to which each item listing is assigned.