June 24, 2004
Rating system has been added to your matches. Please rate the matches you have gotten and leave feedback. Thank you very much. A new field is added to your profile asking what would an ideal match for you. Please take some time to fill it out. It's important for us. Now anyone without a blog may join too!!
June 08, 2004
I've been putting off blogmatch to work on some other projects but I'm BACK! The previous algorithm used to find matches didn't seem to work too well so we are now doing it the old fashioned way. You provide your keywords
here and we will email you matches. To ensure quality matches,
you may also create a no list to prevent matches from certain members. The system has just been implemented to reflect the change. If you see any errors or have any suggestions,
please let us know!
Dec 13, 2003
We've been working on our algorithm to provide you with matches. It is no where near a perfect algorithm. We will need your feedback for further progress. Please log in and view the matches you have obtain and tell us how you like them
here.
Thank you!
Dec 05, 2003
Hey blogmatch members: The search member list function is DONE! Now you can search all logged member blog entries with keywords. Go check out who are talking about things you are interested in!
Oct 23, 2003
Registration is now open the public. The indexing part of the project has not yet begun. Right now I'm approving new sites and promoting the service. There are currently two promotions. The first 50 approved members will be plugged on my
personal blog (google page rank: 6/10) for a mininum of 10 days. For every 5 approved members you refer, you get plugged at the top of my
personal blog for 10 days.
The BlogMatch Project is a school project for
Adv Info & Knowledge Integration which is taught by Professor
Shannon Bradshaw. This project is mainly written and produced by
me but the professor has provided much help and advice during its progress. I wish to come up with an ideal algorithm to match up bloggers with similiar interests. Right now the indexing uses a limited stop list and it uses Boolean model to match. Over the time, if enough data is provided, I will modify the model to better fix the needs.