Update README.md

README.md

@@ -186,10 +186,10 @@ The model has been trained using ArcFace loss which provides several advantages
 
 ```bibtex
 @misc{trendyol2025convnextarcface,
-  title={ConvNeXt-ArcFace Product Embeddings: High-Fidelity Image Embeddings for E-commerce Product Unification},
+  title={E-Commerce Product Image Encoder: High-Fidelity Image Embeddings for E-commerce Product Unification},
   author={Trendyol Data Science Team},
   year={2025},
-  howpublished={\url{https://huggingface.co/Trendyol/convnext-arcface-product-embeddings}}
+  howpublished={\url{https://huggingface.co/Trendyol/e-commerce-product-image-encoder }}
 }
 ```
 
@@ -208,7 +208,7 @@ This model is released by Trendyol as a source-available, non-open-source model.
 - Use the model for non-commercial research and internal testing.
 - Use the model or its derivatives for commercial purposes, provided that:
   - You cite Trendyol as the original model creator.
-  - You notify Trendyol in advance via [ai@trendyol.com] or other designated contact.
+  - You notify Trendyol in advance via cqm.datascience@trendyol.com or other designated contact.
 
 ### You are not allowed to: