Methods, systems, articles of manufacture, and apparatus for object-to-object recommendation using label prototypes and self-attention

A method comprising:

• identifying a first source of object label representation and a second source of object label representation, the first source or the second source including an estimated label prototype vector associated with an input text-based object query;
• determining, by at least one processor circuit programmed by at least one instruction, a first contextualized embedding for the first source and a second contextualized embedding for the second source;
• and
• combining, by one or more of the at least one processor circuit, the first contextualized embedding and the second contextualized embedding to generate a candidate object representation associated with the input text-based object query.

At least one non-transitory machine-readable medium comprising machine-readable instructions to cause at least one processor circuit to at least:

• identify a first source of object label representation and a second source of object label representation, the first source or the second source including an estimated label prototype vector associated with an input text-based object query;
• determine a first contextualized embedding for the first source and a second contextualized embedding for the second source;
• and
• combine the first contextualized embedding and the second contextualized embedding to generate a candidate object representation associated with the input text-based object query.