TransRank: A Novel Algorithm for Transfer of Rank Learning

  title={TransRank: A Novel Algorithm for Transfer of Rank Learning},
  author={Depin Chen and Jun Yan and Gang Wang and Yan Xiong and Weiguo Fan and Zheng Chen},
  journal={2008 IEEE International Conference on Data Mining Workshops},
Recently, learning to rank technique has attracted much attention. However, the lack of labeled training data seriously limits its application in real-world tasks. In this paper, we propose to break this bottleneck by considering the cross-domain ldquotransfer of rank learningrdquo problem. Simultaneously, we propose a novel algorithm called TransRank, which can effectively utilize the labeled data from a source domain to enhance the learning of ranking function in the target domain. The… CONTINUE READING
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