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TopPush

Description: This package provides an implementation of the TopPush algorithm proposed in [1]. It trains a linear ranking model which focuses on the performance at the top of the ranked list, and its computational complexity is linear in the number of training instances. A readme file is included in the package.

Reference: [1] N. Li, R. Jin and Z.-H. Zhou. Top Rank Optimization in Linear Time. In NIPS-2014. (Long version: CoRR, abs/1410.1462 | http://arxiv.org/abs/1410.1462)

Requirements: This package is developed with MATLAB, and C MEX-file is used to implement certain key step. We provide Windows 64-bit mex-file (with .maxw64 extension), so the code should be run on Windows (64-bit). If you want to run it on other platforms, please compile the C codes using MEX with MATLAB.

ATTN: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact

ATTN2: This package was developed by Mr. Nan Li (lin@lamda.nju.edu.cn). The readme file and demo roughly explains how to use the codes. For any problem concerning the codes, please feel free to contact Mr. Li.

Download: [code](280KB)
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