RECOMMENDATION SYSTEM BASED ON NEURAL NETWORK MODELS TO IMPROVE EFFICIENCIES IN INTERACTING WITH E-COMMERCE PLATFORMS

Data for interactions performed by users through a portal page is collected. The data comprising a plurality of sequences of interactions performed by a user on representations of products displayed in the portal page. The plurality of sequences of interactions are input to train a neural network on temporal dependencies between interactions within a sequence from the plurality of sequences. The plurality of sequences are processed by the neural network through a plurality of learning layers to generate a model for product identification. Upon receiving an interaction by a first user at the portal page in relation to a product from the products and based on the model, identifying a first product from the products to be displayed in the portal page for the first user.