However, the HL-SOT approach proposed in (Wei and Gulla, 2010) uses a globally unified index term space to encode target texts for different nodes which is deemed to limit the performance of the HL-SOT approach.
the LFS framework proposed in this paper aims at overcoming the weakness of the HL-SOT approach and consequently improving its performance by generating a locally customized index term space for each node.