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For many applications (recommender systems, information retrieval, etc.), only the top _k_ singular values (and their corresponding vectors) are required from the singular value decomposition.
Would …
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Hello,
I am working on a project and we want to use recsim to understand how RL agents on recommender systems work. We created a new environment based on our business case and applied the full-slat…
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In https://software.intel.com/content/www/us/en/develop/articles/accelerate-int8-inference-performance-for-recommender-systems-with-intel-deep-learning.html, graph optimization includes the following:…
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Several of us have had the idea of building a recommender system on top of the data gathered by moves. To do this right is complicated, and requires integration with a number of different APIs.
Howev…
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In much of the literature / guides outside of this project AUC seems to be a popular metric for recommender systems. TF and Keras specifically has an implementation [here](https://www.tensorflow.org/a…
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## Feature Request
If this is a feature request, please fill out the following form in full:
### Describe the problem the feature is intended to solve
Running TF Serving at scale often requires d…
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> Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation
Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
Type: eprint
Category:…
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**Is your feature request related to a problem? Please describe.**
It is common in industry to train recommender systems models incrementally, i.e., taking a model trained with past data and fine-tun…
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### Bug description
The unit test of the 2-stage recommender system pipeline is shaky due to multiple reasons:
- user_id sent to triton inference server does not exist in FEAST storage
- FIASS cann…
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## Feature request
We should try to implement all these training tricks in order to speed up as much as possible the implementaiton : https://www.youtube.com/watch?v=9mS1fIYj1So&ab_channel=ArunMa…