Experimental results show that on both data sets, both SMN and SAN can significantly outperform the existing methods.
on the Ubuntu corpus, SMN and SAN yield 6 and 7 percentage point improvement, respectively, on R 10 @1 over the best performing baseline method, and on the Douban corpus, the improvement on mean average precision from SMN and SAN over the best baseline are 2.6 and 3.6 percentage points, respectively.