building a recommendation system using graph search methodologies. We will be comparing these different approaches and closely observe the limitations of each.

Content-based Filtering Recommendation System for Vkusotiiki-bg as Artificial Intelligence course project

A content filtering, network/ad blocking ecap adapter for Squid

Text extraction JavaScript library

A real-estate recommender system based on user preferences using content filtering algorithm

🎣 A Facebook content filter desktop app. Filters the Facebook feed list given a set of keywords of your interest

A program that helps you complete your homework that is due the next class.

Pagination and content filter

A simple movie recommender system in R

Jave Web请求内容过滤替换组件. Jave Web content filtering request replacement component

DistillNET is a library for matching and filtering HTTP requests and HTML response content using the Adblock Plus Filter format.

docker container for http-proxy, currently e2guardian

Basic Movie Recommendation Web Application using content filtering.

Caffe Squeezenet model for binary classification of pornographic/non-pornographic material

Movie Recommendation Flask app using content filtering.

Recommendation of Netflix for Movie and TV Shows

In depth recommendation system and its types

Creating our own Spotify Playlist Recommendation models using ML models in Python: https://cs109group33.wixsite.com/spotify

Recommender System is a system that seeks to predict or filter preferences according to the user's choices. Recommender systems are utilized in a variety of areas including movies, music, news, books, research articles, search queries, social tags, and products in general.