User Personalization for Link Recommendation
MSAI, Microsoft India, 2023
- Proposed a re-ranking strategy to enhance personalised recommendations of shared web-links, utilising top-topics obtained from the AI Graph of the user.
- Employed an ensemble of dense and sparse embeddings for clustering and de-noising, further applying a temporal aggregator to create the user’s interest vector.