Recommendation system based on neural network models to improve efficiencies in interacting with e-commerce platforms

A non-transitory computer-readable storage medium coupled to one or more processors and having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations, the operations comprising:

• collecting data for interactions performed by users through a portal page, the data comprising a plurality of sequences of interactions performed by a user on representations of products displayed in the portal page;
• inputting the plurality of sequences of interactions to train a neural network on temporal dependencies between interactions within a sequence from the plurality of sequences;
• processing the plurality of sequences by the neural network through a plurality of learning layers to generate a model for product identification, the plurality of sequences of interactions being defined to have a fixed equal length for a number of interactions within a sequence, the number corresponding to a sequence length value defined by the neural network;
• and
• 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.

A system, comprising:

• a computing device;
• and
• a computer-readable storage device coupled to the computing device and having instructions stored thereon which, when executed by the computing device, cause the computing device to perform operations, the operations comprising:
• collecting data for interactions performed by users through a portal page, the data comprising a plurality of sequences of interactions performed by a user on representations of products displayed in the portal page;
• inputting the plurality of sequences of interactions to train a neural network on temporal dependencies between interactions within a sequence from the plurality of sequences;
• processing the plurality of sequences by the neural network through a plurality of learning layers to generate a model for product identification, the plurality of sequences of interactions being defined to have a fixed equal length for a number of interactions within a sequence, the number corresponding to a sequence length value defined by the neural network;
• and
• 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.