|
|
Built user embeddings using Collaborative Filtering and user history. Designed pipeline to resolve cold start problem. Proved predictive value in recommendation models.
2021-2022LinkDesigned and implemented model to find best YouTube channels for a client, given URL and keywords for brand/campaign.
2018-2021LinkGo Space is a program / model that attempts to embed similar Tseumego close to each other. The ultimate goal is to use this as a study tool: As the user solves problems, we can explore / exploit to build a map for that user to identify which parts of the go space the user has difficulty. We can then serve problems from difficult regions until the user gets better. Today, the UI has not yet been built, but a V1 model has been built, and there is some evidence that it works well.
2022Link