Understanding of results about crslab

[ahtsham58]

could you please spare few moments

[ToheartZhang]

Thanks for your feedback! Due to the special social strategy annotation of the original Inspired dataset, we currently implement only the model without the strategy module considering the compatibility of the dataset. Therefore, we did not report replication results for this model in README.

[ahtsham58]

Thanks for your response.

Could you please help me to get the final responses generated with the inspired model along with item recommendations? In other words, for qualitative analysis, we need complete responses given the user utterance.

You may point out the right place of code and maybe some tips so that I can modify the code in order to get the required results.

[ToheartZhang]

Sorry for the late reply, both the conversation model and the recommendation model provide generated results.

CRSLab/crslab/system/inspired.py

Line 103 in 09ecdad

rec_loss, rec_predict = self.rec_model.recommend(batch, mode)

CRSLab/crslab/system/inspired.py

Line 127 in 09ecdad

pred = self.conv_model.converse(batch, mode)

However, we do not provide an interface to store the generated results for now. In order to record the generated results, you can modify step function to return results in the validation.