文件名称：LFM-TF:张量流中的LFM训练
文件大小：14.56MB
文件格式：ZIP
更新时间：2024-05-18 03:49:27
Python
LFM LFM(Latent Factorization Machine) basicly is matrix decompostion as also as a kind of CF(Colleborative Filter) method. In physical process, it can be described as a method that can learn a user vector and an item vector from their history browsing history. The inner product of a user vector and an item vector is the score of that user give to that item that our algorithm prodicted. mathematica
【文件预览】：
LFM-TF-master
----data()
--------data.train(14.41MB)
--------data.test(2.06MB)
--------data.all(16.47MB)
----model()
--------.gitignore(78B)
----util()
--------buffer_writer.py(952B)
--------shuffler.py(2KB)
----README.md(1KB)
----model.py(3KB)
----train.py(5KB)