SAP SE
Learning model based search engine

Abstract:

A search engine may detect a user selecting an object associated with a first category subsequent to inputting a first search phrase including a keyword. In response, the search engine may update a learning model by at least incrementing a relevance score for an association between the keyword and the first category. The search engine may suggest keywords for completing a second search phrase based on the updated learning model. The search engine may further respond to the second search phrase by determining, based on the updated learning model, that the first category is more relevant to the first user than a second category. A search result of the second search phrase may be refined by eliminating, from objects matching the second search phrase, objects associated with the second category but not the first category.