In this repository, We're going to implement the paper, which is "Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation", (B. Chang et al, IJCAI-ECAI'18), using a PyTorch library.
A problem on "toyset/trian_context.txt", i found that the length of each row is longer than 10.
Is that you only reserved the sequence of POIs longer than 10 ?
Thanks
When I run this program，I have encountered some difficulties as follows:
Data Loading..
Data Indexing..
Dataset Processing..
Data Statistics:
Number of POIs: 874
Number of Words: 1998
=======================================
Training..
Traceback (most recent call last):
File "train.py", line 86, in <module>
context_loss += _loss.cpu().data.numpy()[0]
IndexError: too many indices for arrayRunning environment：Linux pytorch=1.2.0 py2.7_cuda10.0.130
The link to download the dataset is not reachable. Can you copy the dataset to a new place? Thanks!
How to perform data preprocessing
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