发明名称 NONLINEAR FEATURIZATION OF DECISION TREES FOR LINEAR REGRESSION MODELING
摘要 Nonlinear featurization of decision trees for linear regression modeling in the context of an on-line social network is described. A computer-implemented converter is provided that is capable of reading a decision tree structure that is included in the learning to rank algorithm and convert each path from root to a leaf into an s-expression. The s-expressions are used as additional features to train a logistic regression model.
申请公布号 US2017004455(A1) 申请公布日期 2017.01.05
申请号 US201514788717 申请日期 2015.06.30
申请人 LinkedIn Corporation 发明人 Tang Lijun;Huang Eric;Miao Xu;Zhou Yitong;Hardtke David;Young Jeol Daniel
分类号 G06Q10/10;G06N99/00;G06F17/30 主分类号 G06Q10/10
代理机构 代理人
主权项 1. A computer-implemented method comprising: constructing a particular decision tree to determine a ranking score using respective features from a pair comprising a member profile representing a member in an on-line social network system and a job posting, the particular decision tree comprising a node to compare to a threshold value a value representing similarity between a feature of the member profile and a feature of the job posting; learning a ranking model, the ranking model using decision trees as a learning to rank algorithm, the decision trees comprising the particular decision tree; reading a decision tree structure of the particular decision tree; converting, using at least one processor, a path from root to a leaf in the particular decision tree into an s-expression, the format of the s-expression representing a nested if then else statement: retraining a logistic regression model utilizing the s-expression as an additional feature; using the logistic regression model, generating, a recommended jobs list for a member profile representing a member in an on-line social network system using at least one processor; and causing items from the recommended jobs list to be presented on a display device of a member represented by the member profile in an on-line social network system.
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