METHOD AND APPARATUS FOR DECISION TREE BASED SEARCH RESULT RANKING

摘要

A method of decision tree based search result ranking includes obtaining a training data set for generating at least one decision tree, the training data set having N training features and N greater than or equal to 2. The method further includes dividing a computational system of decision trees into N feature work groups corresponding to the N training features respectively, and by use of the feature work groups, computing splitting nodes and splitting values corresponding to the splitting nodes for the decision trees. The method also includes generating the decision trees using the computed splitting nodes and the corresponding splitting values; and ranking search results using the decision trees.