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Code For Next Point-of-Interest Recommendation with Temporal and Multi-level Context Attention
Hi Rhenzen. I am a student currently exploring next POI recommendation . I am working with Yelp dataset but I was not able to find the InitYelp.py file. Can you help me with this? Thank you!
Hi there,
I am quite confused about the length of encoder and decoder you set in the code. When the variable default is set to be False (the default value in your example config file), then the length of encoder = length of decoder + 1.
It doesn't make sense, as the encoder already takes the predicted POI's information. When I change encoder length == decoder length, the performance degraded.
Could you please explain it?
Thank you!
Hi,author!Could you share your dataset in this project?
Hi, Ranzhen! I am very sorry to bother you. I am a student and want to study the next POI recommendation. But when I look at your code, I have some problems.
As following:
poi_feature_file = "poi_feature.csv"
poi_feature_col_name = ["poi_id", "lat", "lon", "cate_id"]
checkins_file = "checkins_clear.csv"
checkins_col_name = ["user_id", "poi_id", "time_str"]
from InitGowalla.py.
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