Fig. 4
From: Personalized tourism recommendation model based on temporal multilayer sequential neural network
Multilayer LSTM neural network. Each time step contains not only basic information such as position and altitude but also dynamic features related to time series. The cell state serves as the long-term memory of the network, ensuring the continuity and effectiveness of information across long sequences. In contrast, the hidden state acts as the short-term memory of the network, capturing and retaining the output information from the previous time step. The multi-layer Long Short-Term Memory (LSTM) network effectively remembers and updates these key pieces of information through the interplay of cell states and hidden states.
