Model Serving

In serving time, the following procedure is applied in the two-stage recommender system.

1. Query Processing – preprocess text query with lowercasing, punctuation and stopwords removal and lemmatization or stemming. Tokenize the words then create a word embedding using text encoding models such as Bert or Word2Vec.

2. Embedding Model