Comments (3)
oh, I finally know what you mean, thanks for your nice project.
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Hi, Peggy1027, thanks for running our code and giving the above feedback.
- Sorry we didn't have the code for preprocessing "complete review data" in http://jmcauley.ucsd.edu/data/amazon/links.html. Because we only use the "Per-category files" and "Files-"Small" subsets for experimentation" rating files.
- May we have more detailed information about the content of your 'i_id_mapping' file? Also, we encourage you to use the debugging of IDE/CMD to check why map_dict would be empty.
Happy that we can help your research on this topic.
from mmrec.
@enoche so the rating files link is http://snap.stanford.edu/data/amazon/productGraph/item_dedup.csv ? 3.2gb in total
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Related Issues (20)
- ModuleNotFoundError: No module named 'common.encoders', LightGCN_Encoder HOT 3
- Quickstart script HOT 1
- Library versions HOT 1
- Rely on this framework to add CF models. HOT 2
- Converting movielens dataset into the format of amazon baby dataset HOT 1
- DualGNN: No such file or directory: 'data/baby/user_graph_dict.npy' HOT 1
- Problem about dataset process HOT 1
- Some problem about layergcn HOT 1
- problem about freedom.py HOT 1
- About user_graph_dict_file HOT 2
- Amazon product data HOT 3
- Data splitting HOT 4
- The dimension of features
- Why are they all based on GNN models? HOT 1
- Request to Add "MicroLens" Dataset to MMRec Framework HOT 4
- If there are raw data for items (original images or texts), rather than extracted features. HOT 1
- About datasets HOT 1
- 如何处理的图片数据 HOT 2
- Using categorical features for the rating field? HOT 1
- dragon HOT 2
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