The Home Depot, Inc.
RANKING AND PRESENTING SEARCH ENGINE RESULTS BASED ON CATEGORY-SPECIFIC RANKING MODELS

Abstract:

Methods of operating a search engine may include calculating multi-modal document vector models for each of a plurality of electronic documents, training category-specific, search query-specific ranking models with respective machine learning algorithms based on those document vector models, and applying each of those models to further instances of the same search query to rank the documents responsive to that search query.