Abstract: Computer-implemented systems and methods for automatic generation of livestream carousel widgets are disclosed and may be configured to retrieve a plurality of candidate livestreams based on first data related to one or more users and second data related to a plurality of livestreams, organize the retrieved plurality of candidate livestreams, input third data related to a first user and fourth data related to the retrieved plurality of candidate livestreams into a ranking model, output, from the ranking model, a value for each livestream of the organized plurality of candidate livestreams, based on the outputted value for each livestream, determine a rank for each livestream of the organized plurality of candidate livestreams, generate a livestream carousel widget including a number of candidate livestreams based on the determined rank, and transmit the generated livestream carousel widget for display on a user interface associated with the first user.

Abstract: Computer-implemented systems and methods for automatic generation of livestream carousel widgets are disclosed and may be configured to retrieve a plurality of candidate livestreams based on first data related to one or more users and second data related to a plurality of livestreams, organize the retrieved plurality of candidate livestreams, input third data related to a first user and fourth data related to the retrieved plurality of candidate livestreams into a ranking model, output, from the ranking model, a value for each livestream of the organized plurality of candidate livestreams, based on the outputted value for each livestream, determine a rank for each livestream of the organized plurality of candidate livestreams, generate a livestream carousel widget including a number of candidate livestreams based on the determined rank, and transmit the generated livestream carousel widget for display on a user interface associated with the first user.

Abstract: Systems and methods are provided for integrating and deduplicating products using Al. One method comprises receiving at least one request to register a first product; searching at least one data store for a second product; tagging, using a machine learning model, at least one keyword from product information associated with the first product and tagging at least one keyword from product information associated with the second product; determining, using the machine learning model, a match score between the first product and the second product; when the match score is above a first predetermined threshold, determining, using the machine learning model, that the first product is identical to the second product; and when the match score is below a first predetermined threshold, determining, using the machine learning model, that the first product is not the second product.