As its name suggests,Details-In-Recommendation
is a package which offers detailed implementations of state-of-the-art techniques and basic methods in recommendation. Most of them could be used in production environments through simple modifications. The structure of the package is as follows:
models
: contains many sub-package which implements recommendation methods.metrics
: some metrics to evaluate recommendation.dataset
: dataset to used in examples
.examples
: examples to test our implementation in models
by using dataset in dataset
and metrics in metrics
.utils
: some useful tools, e.g., embedding visualization, and etc.METRICS | PAPERS |
---|---|
ndcg@K | |
https://tianchi.aliyun.com/dataset/