CptS 570 Machine Learning Project: Netflix Competition Team: MLSurvivors
نویسندگان
چکیده
منابع مشابه
Evaluating the effectiveness of regularized logistic regression for the Netflix movie rating prediction task
Netflix Prize is a competition created by Netflix that challenges individuals to predict how a user will rate movies he or she has not seen, given the ratings for movies he or she has seen. The Computer Science Department at Stanford has built a team that aims to tackle this problem by developing and testing various machine learning approaches such as matrix factorization, clustering, various t...
متن کاملFeature-Weighted Linear Stacking
Ensemble methods, such as stacking, are designed to boost predictive accuracy by blending the predictions of multiple machine learning models. Recent work has shown that the use of meta-features, additional inputs describing each example in a dataset, can boost the performance of ensemble methods, but the greatest reported gains have come from nonlinear procedures requiring significant tuning a...
متن کاملExploring collaborative filters: Neighborhood-based approach
In this project, we study the effectiveness of collaborative filtering mechanisms in the context of the Netflix competition. We focus our attention on a dataset provided by Netflix which includes a training set with more than 100 million 4-tuples: user id, movie id, rating, and date [3]. In the first part of this project, we develop a simple model to predict future ratings of users based on the...
متن کاملCS229: The Netflix Project
This paper investigates the combination and application of a number of machine learning applications to the Netflix Challenge. The algorithm uses extra data in addition to the Netflix training set. Namely, it uses a mapping from Netflix to features gleaned from IMDB, such as the director and genre. Using k-means clustering, the algorithm first clusters the users together by the IMDB features ea...
متن کاملAdditive Regression Applied to a Large-Scale Collaborative Filtering Problem
The much-publicized Netflix competition has put the spotlight on the application domain of collaborative filtering and has sparked interest in machine learning algorithms that can be applied to this sort of problem. The demanding nature of the Netflix data has lead to some interesting and ingenious modifications to standard learning methods in the name of efficiency and speed. There are three b...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007