I recently upgraded the engine that provides recommendations here at Value Investing News. The recommendations are based on your voting on stories and the voting of other members on stories. The recommendations are then processed by the powerful Slope One algorithm.

• You can spot the recommendations engine in action when you click on the Recommendations tab at the top of the page.
• You can also find it in action when you click on other user's names, such as George. The top of the right hand column will show you a list of Recommended Users.
• Finally, you can find a list of users that liked a particular article by clicking on the Full story links. At the bottom of the each story link discussion you will find a Those that like this also liked section.

To fully see the features of the content recommendation engine, you need to be logged in and you should rate at least a few story links first.

Have you used the recommendation engine features? Do you like it? Leave you comments below.