date_range 10/09/2022 22:30
Here we introduce a Youtube’s recommendation system based on deep neural networks. It consists of a deep candidate generation model and then a separate deep ranking model. Youtube recommendations have to deal with scalability, freshness and noises of user feedbacks. The two-stage of this model can get a small personalized and accurate recommendation for users from a large of millions of videos.
date_range 02/04/2022 17:30
In order to keep notes and share my understanding of computer algorithms, I summarize some of them here (the specific content will be continously updated). The example codes are in Python 3.
-
Binary search
date_range 24/12/2021 22:30
Recently, I have been working on privacy preserving on machine learning. Fully homomorphic encryption is one of the promising ways to do privacy preserving.
date_range 10/12/2021 23:30
It is my great fortune to work on Omdena’s AI project with Poikilingo. The problem was to build a recommender system that helps the study of bilingual children, including immigrant and refugee children that adapts to the level of the children as they progress in the app, ensuring a personalized learning experience for each individual child.
date_range 31/10/2021 16:50
Sometimes if we have encountered a problem and the solution is not obvious to you, what you will do at this time?