Search Results for "collaborative filtering" - Page 2

An automated collaborative filtering approach to news/information/blogs built on top of news aggregators.

DBLens is a Oracle-based toolkit for performing collaborative filtering. DBLens is a collection of PL/SQL code and accompanying shell scripts that provides a flexible and efficient method for performing collaborative filtering.

This project implements collaborative filtering algorithms based on Bayesian inference

Preferate is a restaurant recommendation web application using collaborative filtering technology to generate personalized suggestions from crowdsourced data. Using the data that a user enters when he or she creates an account, we can find users with similar tastes who have tried other nearby restaurants and use these correlations to predict which restaurants the user will enjoy. Preferate will also be able to use these same techniques for groups of people, to eliminate the problem of fighting over what restaurant to go to.

This is a recommendation system built in ruby which is able to generate recommendations for user inputted data (a text file and a ratings matrix). It works on a hybrid model of collaborative filtering and content based filtering.

Gusto will provide the next generation of engines for recommender systems based on collaborative filtering and semantic web.