Patent ID: 8051072
Filing Date: 2011-11-01
Classification: G06F

Abstract:
1. A method for learning ranking functions to determine the ranking of one or more new content items that are responsive to a new query, the method comprising: obtaining a plurality of training query-content item pairs; generating one or more training sets comprising the plurality of training query-content item pairs; designating the plurality of training query-content item pairs of the one or more training sets; determining one or more feature vectors for the plurality of training query-content item pairs of the one or more training sets; generating one or more training subsets containing the designated plurality of training query-content item pairs of the one or more training sets; determining preference data from the one or more training subsets based on the one or more feature vectors; determining labeled data from the one or more training subsets; determining a ranking function based upon the preference data and the labeled data for the plurality of training query-content item pairs of the one or more training sets; and applying the ranking function to one or more new query-content item pairs to determine the rank of a new content item relative to a new query.