SEO

“Personalized” Weblog Reader Debuts: Blogory

ResourceShelf has mentioned and linked to Findory, a “personalized” and “adaptive” (it learns from you) news resource (a couple thousand mainstream news sources) several times since its debut in March. Findory comes from Seattle’s Greg Linden. You can read more about what Greg and Findory are up to in articles from the Seattle Post-Intelligencer and Seattle Times.

So why am I mentioning all of this today? Findory is out with a new beta today, its second service, called Blogory. The new service looks and operates in the same way as Findory does. As you click and read weblog postings, Blogory automatically takes a look at what you’re reading (using numerous criteria) and then prepares “personalized” pages with articles that it believes you’ll be interested in. You’ll find a personalized “top stories” page along with pages for:

+ Tech
+ General
+ Politics
+ Library (cool!)
+ Science
+ Business
+ Personal
+ Education
+ Law
+ Religion

Like Findory, registration is VERY fast and simple. No personal info is required. Just create a login and go! I think the casual weblog reader might find Blogory a great way to read quickly identify useful postings. The “more serious” weblog reader can use Blogory as a tool to quickly identify weblogs they might not know about. The Blogory database is also searchable via a box on the left side of the page. Finally, A form is available to submit blogs for possible inclusion into the database.

Screen Shot 2014 04 15 at 7.21.12 AM Personalized Weblog Reader Debuts: Blogory
Loren Baker is the Founder of SEJ, an Advisor at Alpha Brand Media and runs Foundation Digital, a digital marketing strategy & development agency.
Screen Shot 2014 04 15 at 7.21.12 AM Personalized Weblog Reader Debuts: Blogory

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4 thoughts on ““Personalized” Weblog Reader Debuts: Blogory

  1. I love the idea of adaptive content, meaning that the content choices isn’t a long list of check boxes, but instead learns your interests. This, in my opinion, is similar to Tivo’s learning mechanism. It should prove to be very popular if done right.

    There are two problems that I see. First, shared computers / logins could skew the accuracy since different people would use it. Second, those of us who have dozens of unrelated interests could be hard to figure out. It’s definitely a step in the right direction.

    Jerry Hobby ( http://www.hobbygroup.com http://www.life-excellence.com http://www.healthandwellnessliving.com )