With over 10,000 magazine titles attracting 200 million American readers, Maggwire makes discovering magazine content a personalized experience. Utilizing social intelligence, our system recommends magazine articles you will enjoy reading from over 600 magazine titles.

Based on your historical reading preferences, Maggwire learns what you like to read. As you rate articles with 1-5 stars, we begin to build a personalized profile of your interests. Then we predict how you will rate new articles. The more articles you rate, the more accurate our recommendations become.

Here is how it works:

1. Discover articles

Discover the best magazine content you might otherwise be unaware of. Maggwire links you to the highest quality magazine content from over 600 magazine titles and growing. Clicking on the article headline takes you directly to the magazine article at the publisher’s website.

2. Rate articles

Rate articles with 1-5 stars so we understand your reading preferences. The more articles you rate, the more personalized your reading experience becomes. Yellow stars represent our prediction of how you will like an article. Red stars represent your actual ratings.

3. Share articles

Share and link to Maggwire articles utilizing the ‘Share Article’ button for each article. Share interesting articles with your friends and family.

4. Discuss articles.

Expand the reading experience and explore each article’s comments section by clicking on the ‘comments’ option below each article’s description. You can discuss what you read and interact with other like-minded readers.

The future of magazines:

Maggwire’s goal is to lead the magazine industry toward a successful digital transformation. We are performing the most comprehensive analysis of magazine articles and readership patterns ever attempted. Our purpose is to distinguish high quality journalistic content backed by reputable publishers and eventually provide readers with the ability to purchase premium magazine content online with a single click.

This entry was posted on Monday, November 9th, 2009 at 9:33 am and is filed under Innovations, Newcomers, News Search, Verticals. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.