### Use Cases


- **Train a DeepFM model using recsys data**
>![](../../../image/GitHub-Mark-32px.png)[View source on GitHub](https://github.com/intel-analytics/BigDL/tree/main/python/friesian/example/deep_fm)

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- **Run DeepRec with BigDL**
>![](../../../image/GitHub-Mark-32px.png)[View source on GitHub](https://github.com/intel-analytics/BigDL/tree/main/python/friesian/example/deeprec)

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- **Train DIEN using the Amazon Book Reviews dataset**
>![](../../../image/GitHub-Mark-32px.png)[View source on GitHub](https://github.com/intel-analytics/BigDL/tree/main/python/friesian/example/dien)

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- **Preprocess the Criteo dataset for DLRM Model**
>![](../../../image/GitHub-Mark-32px.png)[View source on GitHub](https://github.com/intel-analytics/BigDL/tree/main/python/friesian/example/dlrm)

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- **Train an LightGBM model using Twitter dataset**
>![](../../../image/GitHub-Mark-32px.png)[View source on GitHub](https://github.com/intel-analytics/BigDL/tree/main/python/friesian/example/lightGBM)

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- **Running Friesian listwise example**
>![](../../../image/GitHub-Mark-32px.png)[View source on GitHub](https://github.com/intel-analytics/BigDL/tree/main/python/friesian/example/listwise_ranking)

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- **Multi-task Recommendation with BigDL**
>![](../../../image/GitHub-Mark-32px.png)[View source on GitHub](https://github.com/intel-analytics/BigDL/tree/main/python/friesian/example/multi_task)

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- **Train an NCF model on MovieLens**
>![](../../../image/GitHub-Mark-32px.png)[View source on GitHub](https://github.com/intel-analytics/BigDL/tree/main/python/friesian/example/ncf)


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- **Offline Recall with Faiss on Spark**
>![](../../../image/GitHub-Mark-32px.png)[View source on GitHub](https://github.com/intel-analytics/BigDL/tree/main/python/friesian/example/recall)


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- **Recommend items using Friesian-Serving Framework**
>![](../../../image/GitHub-Mark-32px.png)[View source on GitHub](https://github.com/intel-analytics/BigDL/tree/main/python/friesian/example/serving)


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- **Train a two tower model using recsys data**
>![](../../../image/GitHub-Mark-32px.png)[View source on GitHub](https://github.com/intel-analytics/BigDL/tree/main/python/friesian/example/two_tower)

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- **Preprocess the Criteo dataset for WideAndDeep Model**
>![](../../../image/GitHub-Mark-32px.png)[View source on GitHub](https://github.com/intel-analytics/BigDL/tree/main/python/friesian/example/wnd)


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- **Train an XGBoost model using Twitter dataset**
>![](../../../image/GitHub-Mark-32px.png)[View source on GitHub](https://github.com/intel-analytics/BigDL/tree/main/python/friesian/example/xgb)

