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Update model_list.md #7

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Expand Up @@ -49,6 +49,7 @@ We summarize all the models in the following table (arranged in lexicographic or
| [**FFM**](https://recbole.io/docs/user_guide/model/context/ffm.html) | RecSys'16 | Field-aware Factorization Machines for CTR Prediction | [**RecBole**](https://github.com/RUCAIBox/RecBole) |
| [**FISM**](https://recbole.io/docs/user_guide/model/general/fism.html) | KDD'13 | FISM: Factored Item Similarity Models for Top-N Recommender Systems | [**RecBole**](https://github.com/RUCAIBox/RecBole) |
| [**FM**](https://recbole.io/docs/user_guide/model/context/fm.html) | ICDM'10 | Factorization Machines | [**RecBole**](https://github.com/RUCAIBox/RecBole) |
| [**FM2**](https://recbole.io/docs/user_guide/model/context/fm2.html) | WWW'21 | Field-matrixed Factorization Machines for Recommender Systems | [**RecBole**](https://github.com/RUCAIBox/RecBole) |
| [**FNN**](https://recbole.io/docs/user_guide/model/context/fnn.html) | ECIR'16 | Deep Learning over Multi-field Categorical Data | [**RecBole**](https://github.com/RUCAIBox/RecBole) |
| [**FOCF**](https://github.com/TangJiakai/RecBole-FairRec/blob/master/recbole/model/fair_recommender/focf.py) | NIPS'17 | Beyond Parity: Fairness Objectives for Collaborative Filtering | [**RecBole-FairRec**](https://github.com/TangJiakai/RecBole-FairRec) |
| [**FOMeLU**](https://github.com/nuster1128/RecBole-MetaRec/blob/master/recbole_metarec/model/FOMeLU/FOMeLU.py) | KDD'19 | MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation | [**RecBole-MetaRec**](https://github.com/nuster1128/RecBole-MetaRec) |
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