Exploitation of Recommendation Framework for Inadequate Approach

Recommender Systems (RS) are systems through which users can find projects out of a large number of
possibilities and retrieve projects. They assist organizations in utilizing resources optimally in overcoming coldstart and sparsity problems. To address the problems mentioned above, we employ a gradient classifier algorithm,
which refers to a predictive regression method where a loss function is minimized by iteratively selecting the
function reflecting against the negative gradient. This method always identifies some problem and provides a
timely solution associated with project completion.