Build a Recommender System that Includes Term / Vector Recall, DeepFM Ranking, Inference Engine and Web Application.

Hello everyone! I've noticed that most beginner-level tutorials on recommender systems primarily focus on model training, with limited information about deploying them in a production environment. Additionally, the different usage of models in the recall (retrieval) and ranking modules can indeed be confusing for beginners.

Recently, I've been working on a recommender system project that encompasses both offline **development** and online **deployment**, covering both **recall** and **ranking** modules. The entire project is developed using Python and executed on a single …

application beginner build datascience environment focus hello indeed inference information modules production ranking recall recommender systems retrieval systems them training tutorials usage vector web