Recommender Systems have become an important part of our day to day life. The goal of any recommendation system is to present users with a relevant set of items which would interest them.
Research showcases a new technique and implements a non-personalized recommender system using the proposed technique.
It is shown how the modification can be used to improve the recommendation as compared to existing algorithms. The comparison is done with the widespread method of average ratings and conclusions are drawn based on these tests.
Journal published: Goyal, S. (2017). Improving Non Personalized Recommendations using a Non-Linear Weighted Mean. International Journal Of Research And Engineering, 4(9), 241-243.