Then, we embed each word w in t p in a continuous space and sum the embedding vectors to obtain an embedding representation.
the embedding matrix A(of size dim × |V |, where V is the vocabulary and dim is the embedding dimension) is used to look up the vectors for words w, and the representation can be calculated as follows: The embedding o 0 is also treated as an initial input of the user interest encoder.