Tendencies-based collaborative filtering algorithm

As a part of my academic research project titled Impact of Recommender System, I got to study about various collaborative filtering algorithms. I was supposed to study, implement and compare them. Tendencies-based was the best among them in terms of accuracy and computational efficiency.1 It was proposed by Fidel Cacheda and his team of researchers from University Continue Reading..


Text search using Stochastic Diffusion Search

Stochastic Diffusion Search (SDS), a multi-agent population-based global search and optimization algorithm, is a distributed mode of computation utilizing interaction between simple agents. SDS shows off a strong mathematical framework. It is robust, has minimal convergence criteria and linear time complexity. SDS has been applied to diverse problems such as text search, object recognition, feature Continue Reading..