RecFormer
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Discrepancy in User and Item Counts for the “Games” Dataset
Dear Author,
I have a question regarding your paper, “Text Is All You Need: Learning Language Representations for Sequential Recommendation”. In the statistical analysis of the “Games” dataset, you mentioned that the number of users is 11,036 and the number of items is 15,402. However, in the dataset you released at this link, the actual numbers are 55,223 users and 17,389 items.
Could you clarify this discrepancy?