High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
I have some features, which is the same value,but different meaning。
for example, user tags and item tags,user tags is usually digged from user behaviors, like click items. They share the same value corpus, but is different field in model
can they share the same look-up table of embeddings ?
I have some features, which is the same value,but different meaning。 for example, user tags and item tags,user tags is usually digged from user behaviors, like click items. They share the same value corpus, but is different field in model can they share the same look-up table of embeddings ?
Thanks