Google Local Review Recommender System for Business
In this project, we
- implemented data pipeline for data loading, preprocessing, and feature engineering in batch processing for 400k+ records.
- built and fine-tuned Temporal Dynamic Latent Factor Model and Factorized Personalized Markov Chain recommender model, achieved enhanced recommendation accuracy, by leveraging TensorFlow for scalable performance.