LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts
Table 4: The performance of the baseline models and the proposed models. (#I: the number of input frames used at the testing stage; #C: the number of input comments used at the testing stage; Recall@k, MRR: higher is better; MR: lower is better)
['[EMPTY]', '[BOLD] Model', '[BOLD] #I', '[BOLD] #C', '[BOLD] Recall@1', '[BOLD] Recall@5', '[BOLD] Recall@10', '[BOLD] MR', '[BOLD] MRR']
It shows that our proposed models outperform the baseline models in terms of all evaluation metrics under all settings, which demonstrates the effectiveness of our proposed models. Moreover, it concludes that given both videos and comments the same models can achieve better performance than those with only videos or comments. Finally, the models with only comments as input outperform the models with only videos as input, mainly because the surrounding comments can provide more direct information for making the next comments.