Machine learning driven data management

A method comprising:

• receiving, by a neural network, first textual data associated with a first item and second textual data associated with a second item;
• converting, by the neural network, the first textual data to a first vector and the second textual data to a second vector, the first vector indicating one or more words associated with the first item, the second vector indicating one or more words associated with the second item;
• determining, by the neural network, whether the first item and the second item satisfy, based on a comparison of the first vector with the second vector, a similarity threshold;
• selecting, by the neural network and in response to satisfaction of the similarity threshold, one of the first item and the second item, the selecting based on a selection criteria;
• and
• providing, by the neural network, a recommendation on a user interface regarding the selected first item or second item.

A non-transitory computer program product storing instructions which, when executed by at least one data processor, causes operations comprising:

• receiving, by a neural network, first textual data associated with a first item and second textual data associated with a second item;
• converting, by the neural network, the first textual data to a first vector and the second textual data to a second vector, the first vector indicating one or more words associated with the first item, the second vector indicating one or more words associated with the second item;
• determining, by the neural network, whether the first item and the second item satisfy, based on a comparison of the first vector with the second vector, a similarity threshold;
• selecting, by the neural network and in response to satisfaction of the similarity threshold, one of the first item and the second item, the selecting based on a selection criteria;
• and
• providing, by the neural network, a recommendation on a user interface regarding the selected first item or second item.