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yingtaoluo / Spatial-Temporal-Attention-Network-for-POI-Recommendation

Codes for a WWW'21 Paper. POI recommender system for location/trajectory prediction.
https://doi.org/10.1145/3442381.3449998
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Question regarding STAN_WIN and dataset #5

Closed rbhatia46 closed 3 years ago

rbhatia46 commented 3 years ago

Hi, nice work!

I have two questions, first one is that where is the STAN_WIN library which you are importing, I can't find any py file for the same.

Secondly, I wanted to understand the dataset included in the repo. I understood that the NYC_POI.npy contains the POI ID, and the latitude, longitude.

What does each column in NYC.npy mean ?

yingtaoluo commented 3 years ago

Hi Rahul,

Thank you for asking this question. Many people have the same doubt so I will add it to the FAQ.

STAN_WIN: I will edit this out to make you run it without modifying any codes. NYC.npy contains a column of [user id, check-in location id, time in seconds]'s.

Best, Yingtao

On Mon, Apr 19, 2021 at 6:40 PM Rahul Bhatia @.***> wrote:

Hi, nice work!

I have two questions, first one is that where is the STAN_WIN library which you are importing, I can't find any py file for the same.

Secondly, I wanted to understand the dataset included in the repo. I understood that the NYC_POI.npy contains the POI ID, and the latitude, longitude.

What does each column in NYC.npy mean ?

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rbhatia46 commented 3 years ago

When you say time in seconds, do you mean duration spent at that particular POI or something else, sorry I am confused with that part, can you please confirm ?

Thanks

yingtaoluo commented 3 years ago

The absolute time in the universe, unrelated to any particular user or location. We let it start from 0 to the max_time.

On Tue, Apr 20, 2021 at 7:08 PM Rahul Bhatia @.***> wrote:

When you say time in seconds, do you mean duration spent at that particular POI or something else, sorry I am confused with that part, can you please confirm ?

Thanks

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rbhatia46 commented 3 years ago

Understood, thanks for the clarification.