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Description
System information
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): centos
- TensorFlow version and how it was installed (source or binary): tensorflow 2.8.3
- TensorFlow-Recommenders-Addons version and how it was installed (source or binary): 0.6.0
- Python version: 3.9
- Is GPU used? (yes/no): no
Describe the bug
this is not a bug 。 I add userid feature into model ,and use redis backend to store dynamic embedding,but the userid is a bigkey,Redis is experiencing bandwidth warnings due to transmission speeds reaching 1GB/s. How should I configure the parameters in redis.config to reduce bandwidth usage? Is there any way to solve this problem?thanks
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