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fix broken links in the examples README #296

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4 changes: 2 additions & 2 deletions examples/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -23,7 +23,7 @@ This end-to-end example notebook is focuses on:
- Sending request to TIS and generating next-item predictions for each session


### 3. [Tutorial - End-to-End Session-Based Recommendation on GPU](https://github.com/NVIDIA-Merlin/Transformers4Rec/tree/main/tutorial/)
### 3. [Tutorial - End-to-End Session-Based Recommendation on GPU](https://github.com/NVIDIA-Merlin/Transformers4Rec/tree/main/examples/tutorial)

This tutorial was presented at the ACM RecSys 2021. It covers the following topics:

Expand All @@ -32,7 +32,7 @@ This tutorial was presented at the ACM RecSys 2021. It covers the following topi
- How to build, train and evaluate a session-based recommendation models based on RNN and Transformer architectures with Transformers4Rec library
- How to deploy a session-based recommendation pipeline (preprocessing workflow and trained model) to the Triton Inference Server

### 4. [Transformers4Rec paper experiments reproducibility](https://github.com/NVIDIA-Merlin/Transformers4Rec/tree/main/t4rec_paper_experiments/)
### 4. [Transformers4Rec paper experiments reproducibility](https://github.com/NVIDIA-Merlin/Transformers4Rec/tree/main/examples/t4rec_paper_experiments)

This example contains scripts to reproduce the experiments reported in the Transformers4Rec [paper](https://dl.acm.org/doi/10.1145/3460231.3474255) at RecSys 2021. The experiments focused in the session-based recommendation using incremental training and evaluation over time on two e-commerce and two news datasets.

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