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wsdm2022-c2crs's Issues

Output of the model

Hi, yuanhang! I want to know how does the conversation module integrate the results of the recommendation module? Take the topK items of the recommended module, and then add a switch/copy network to choose the item or conversation words?

About evaluation

Hi yuanhang,
first of all, thanks for your work. The results of Dist2, 3, 4 on the KGSF dialogue module reported in the paper are different from those reported in the KGSF paper itself. Is this because you and KGSF use different evaluation scripts? If the answer is yes, can you specify the difference between KGSF's evaluation script and yours.
Thanks a lot! Lucy

Performance comparison c2crs

Hi, thanks for sharing the source code.

Just wondering do you include all movie items as context items or just positive movie items? (e.g. liked movie)

From the code, it seems all items are treated as context items. However, paper-like KECRS use only positive items. Have you experimented using C2CRS with only positive items?

Thanks in advance

AssertionError: [ Checksum for cc.en.300.zip ...

Had an error while running this linesh script/redial/train/redial_rec_train.sh,
File "/root/autodl-tmp/WSDM2022-C2CRS-main/crslab/download.py", line 63, in checksum raise AssertionError( AssertionError: [ Checksum for cc.en.300.zip from https://pkueducn-my.sharepoint.com/:u:/g/personal/franciszhou_pku_edu_cn/Ee3JyLp8wblAoQfFY7balSYB8g2wRebRek8QLOmYs8jcKw?download=1 does not match the expected checksum. Please try again. ]
Anyone can download it successfully?

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