Exploitation of Recommendation Framework for Inadequate Approach

Exploitation of Recommendation Framework for Inadequate Approach

Authors- B.Kishore, Professor R.Priya

Abstract-– 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 cold-start 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.

DOI: /10.61463/ijset.vol.13.issue2.364