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marcell mars

The Art, Science and Business of Recommendation Engines - 0 views

  • The main approaches fall into the following categories: Personalized recommendation - recommend things based on the individual's past behavior Social recommendation - recommend things based on the past behavior of similar users Item recommendation - recommend things based on the thing itself A combination of the three approaches above
marcell mars

Official Google Reader Blog: Share anything. Anytime. Anywhere. - 0 views

  • Share anything with a bookmarklet - Just drag this link from the Notes page up to your browser's bookmark bar and click, click, click your way to easy, no-subscription sharing in Reader. You can share any content from any web page, even if the site doesn't have a feed.
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    Share anything with a bookmarklet - Just drag this link from the Notes page up to your browser's bookmark bar and click, click, click your way to easy, no-subscription sharing in Reader. You can share any content from any web page, even if the site doesn't have a feed.
marcell mars

GroupServer - 0 views

  • GroupServer is a GPL open source collaboration server. It supports many-to-many interaction in groups and communities via email and an integrated web forum interface.
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    GroupServer is a GPL open source collaboration server. It supports many-to-many interaction in groups and communities via email and an integrated web forum interface.
marcell mars

APML - Attention Profiling Mark-up Language - 0 views

  • APML allows users to export and use their own personal Attention Profile in much the same way that OPML allows them to export their reading lists from Feed Readers.
marcell mars

Dapper: The Data Mapper - 0 views

  • You can use Dapper to create feeds, widgets, and APIs with your content and links.
    • marcell mars
       
      You can use Dapper to create feeds, widgets, and APIs with any (more or less) well formated content from the web.
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