I am always on the lookout for new and interesting tech stories beyond that of major blogs. To do this I need to dig deeper into the interwebs to find potentially interesting news, which can be tedious at the best of times. Usually, when I found a news source that was particularly interesting I would add the RSS feed to my Google Reader. This has become an increasingly difficult problem, many blogs simply stop posting, other blogs have stepped away from the original reason as to why I subscribed to them. So when I discovered DailyPerfect I was definitely interested.
DailyPerfect is a showcase of personalization technology from Ambient Sound Investements and Curonia Research. Created by Louis Kanganis and two former Skype employees Ahti Heinla and Asko Seeba, DailyPerfect uses symantic analysis to figure out what you would potentially like to read, by simply entering your name. By analyzing public web data, DailyPerfect attempts to assort your interests into tags and leverages these tags to provide you with an assortment of reading material.
So how effective is DailyPerfect at determining what you want to read, based off your name? Turns out in my case, pretty darn effective. I was immediately seeing stories relevant to me from the tags DailyPerfect suggested. If there happened to be a story I disapproved of I could simply give the topic a thumbs down, and all relevant tagged posts would disappear from my homepage, making it easy to get rid of anything irrelevant to me.
To save your DailyPerfect setting all you have to do is enter your email address and follow the necessary steps. You also have the option to log in with your Facebook account which is becoming more and more of a prevalent option with many web services. So go out and try DailyPerfect for yourself, all you have to do is enter your name and you’re ready to roll. Make sure to tell us in the comments how effective DailyPerfect was for you at determining what you wanted to read in the comments.
