adding missing conclusion

AhmedTremo · Dec 4, 2023 · 3d9723d · 3d9723d
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diff --git a/_posts/2023-12-04-the-tech-behind-tiktoks-addicitve-recommendation-system.md b/_posts/2023-12-04-the-tech-behind-tiktoks-addicitve-recommendation-system.md
@@ -61,4 +61,11 @@ Additionally, to prevent the embedding memory from expanding too rapidly, a prob
 
 ## Conclusion
 
-TikTok’s recommendation system played a main role in its success and
+TikTok’s recommendation system played a main role in its success and widespread use. I tried in this blog post to shed some light on the underlying technologies used, especially the online training, which helps them recommend real-time personalized content that keeps users staring at their phones for hours.
+
+**References:**
+
+1. [How TikTok recommends content | TikTok Help Center](https://support.tiktok.com/en/using-tiktok/exploring-videos/how-tiktok-recommends-content)
+2. [Monolith: Real Time Recommendation System With Collisionless Embedding Table (arxiv.org)](https://arxiv.org/pdf/2209.07663.pdf)
+3. [*An Empirical Investigation of Personalization Factors on TikTok (arxiv.org)](https://arxiv.org/pdf/2201.12271v1.pdf)
+4. [cs.princeton.edu/courses/archive/spring21/cos598D/icde_2021_camera_ready.pdf](https://www.cs.princeton.edu/courses/archive/spring21/cos598D/icde_2021_camera_ready.pdf)