Table 7 
Evaluation results in terms of different word embedding sizes.
 Ubuntu CorpusDouban Corpus
R2@1R10@1R10@2R10@5MAPMRRP@1R10@1R10@2R10@5
SCN50d 0.920 0.715 0.834 0.952 0.503 0.541 0.343 0.201 0.364 0.729 
SCN100d 0.921 0.718 0.838 0.954 0.524 0.569 0.391 0.234 0.387 0.727 
SCN200d 0.923 0.723 0.842 0.956 0.526 0.571 0.393 0.236 0.387 0.729 
  
SAN50d 0.914 0.698 0.828 0.950 0.503 0.541 0.343 0.201 0.364 0.729 
SAN100d 0.921 0.711 0.840 0.953 0.525 0.565 0.375 0.220 0.388 0.746 
SAN200d 0.930 0.733 0.850 0.961 0.536 0.581 0.393 0.236 0.404 0.761 
 Ubuntu CorpusDouban Corpus
R2@1R10@1R10@2R10@5MAPMRRP@1R10@1R10@2R10@5
SCN50d 0.920 0.715 0.834 0.952 0.503 0.541 0.343 0.201 0.364 0.729 
SCN100d 0.921 0.718 0.838 0.954 0.524 0.569 0.391 0.234 0.387 0.727 
SCN200d 0.923 0.723 0.842 0.956 0.526 0.571 0.393 0.236 0.387 0.729 
  
SAN50d 0.914 0.698 0.828 0.950 0.503 0.541 0.343 0.201 0.364 0.729 
SAN100d 0.921 0.711 0.840 0.953 0.525 0.565 0.375 0.220 0.388 0.746 
SAN200d 0.930 0.733 0.850 0.961 0.536 0.581 0.393 0.236 0.404 0.761 
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