-
Hi, I'm Ana Cristina, a postgraduate student in Machine Learning, at the Federal Institute of Amazonas (IFAM), I'm carrying out research for a specialization, and your code was chosen for the TCC work…
-
In the tutorials of Tensorflow Recommenders, top_k_categorical_accuracy is used for the evaluation of Retrieval, and mse for Rank. Do we have examples that show better evaluation metrics translate int…
-
Define You:
- [x] Hacktoberfest2021 Participant
- [x] Contributor
**Is your feature request related to a problem? Please describe.**
I'd like to work on a movie recommendation system that pre…
-
Hi fellows,
Thanks for the great work. I successfully applied this tool to a similar product recommendation task.
As for the example given, I am trying to understand how the three-layer neural netw…
-
When you're too lazy to pick your own movie.
Uses collaborative filtering or a simple recommendation algorithm to recommend movies based on user preferences from a dataset like MovieLens.
-
Hi,
cool project! I tried to run the [examples](https://github.com/ntucllab/striatum/tree/master/examples) but I run into errors.
I think that might be due to different package versions I use (…
-
```
Traceback (most recent call last):
File "C:\Program Files\JetBrains\PyCharm 2018.2.5\helpers\pydev\pydevd.py", line 1664, in
main()
File "C:\Program Files\JetBrains\PyCharm 2018.2.5\h…
-
So I've been playing with LightFM for a while to give movie recommendations to users (I'm not using the MovieLens dataset).
I've also read the LightFM documentation several times, but still have so…
-
-
Using the OMDB API, we could get features from movies in a user's list and then search for other movies that might have those same features.
Some features might include:
- Year released
- Ratin…