Personalization Explained

We recently launched what we believe is a game changer:

Personalized Newsletters

What do we mean by that?  We will be delivering the very best content that is specific to your interests from every source we can find that produces high quality content in your field.

This probably sounds too good to be true, so let’s explain what we are doing.

First, we find high quality content.

Curators are in charge of maintaining a high quality Content Base: the collection of spacer all articles, posts, white papers, webinars, etc. that exist in the system.  Most of the content comes from on-going subscriptions to trade publications, magazines, high quality blogs and other similar kinds of sources.  Curators will also periodically find interesting articles that are added one at a time into the Content Base.  They also will periodically remove content items that don’t match our quality standards.   Content can also come in because a significant number of audience members are sharing topically relevant articles.

As you can imagine, this turns into a lot of content.  And while it’s high quality content, it’s still a lot.

Second, we use you, the audience, to identify good content.

The great thing about social systems like Twitter, LinkedIn, Delicious, Facebook. etc. is that we can watch what’s happening on these systems.  The system is constantly monitoring both registered users and people who are topically relevant based on their past activity.  We use the activity of the audience to:

  • Identify content that has been found to be interesting by the audience.  In other words, things that have high social signals as compared to baselines suggests that content is good stuff.
  • Identify content that is missing from the Content Base.  In other words, if a significant number of audience members are sharing items that are not currently part of the Content Base and that content is topical, then it is added.

Third, we find what will interest you.

When you register, you provide your twitter and LinkedIn information.  We will begin to monitor your twitter and LinkedIn activity to see what you share.  This will tell us what you are likely to find interesting.  You can also go through and identify specific topics that are of interest to you.  We also will pay attention to other people who are sharing similar things and have similar interests.  These individuals are considered to be “like” you. Over time our understanding of your interests and people like you will improve.

Finally, every day and every week, we weed all that great content down to those that will interest you the most.

As we  said, we are gathering a ton of great content into the system.  Really too much content.  But the good news is that we can combine three pieces of information to figure out what will be most interesting to you:

  • Social signal score – are people in the audience finding it interesting
  • Topic match – does it match up with your interests
  • Like sharing – are individuals who are like you sharing this

The result is something that we believe is unmatched.  It’s the very best content captured together and delivered to you every day and/or week (your choice).

Try it and let us know what you think.

If you would like to participate in the beta, contact: editors@aggregage.com.

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