15. The system of claim 10 , wherein the second engine comprises a learning engine and an evaluation engine; and wherein the second set of processors comprises a fourth subset of processors and a fifth subset of processors, the fourth subset of processors corresponding to the learning engine and the fifth subset of processors corresponding to the evaluation engine.
15. The system of claim 10 , wherein the second engine comprises a learning engine and an evaluation engine; and wherein the second set of processors comprises a fourth subset of processors and a fifth subset of processors, the fourth subset of processors corresponding to the learning engine and the fifth subset of processors corresponding to the evaluation engine. 16. The system of claim 15 , wherein the fourth subset of processors of the learning engine is configured to: to compute a gradient associated with the multiple datasets, wherein the gradient is computed as a function of attributes corresponding to the first and second objects, respectively; to update the weight values of the weight set associated with the compatibility score based on the gradient, wherein the scoring function is a function of the weight values; and wherein the fifth subset of processors of the evaluation engine is configured to: to evaluate computational losses associated with the scoring function; and to generate the compatibility score using the scoring function with the computational losses.