1 Automatic Classification of Bookmarked Web Pages Individual APT Presentation January 2007.

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Presentation transcript:

1 Automatic Classification of Bookmarked Web Pages Individual APT Presentation January 2007

2 Introduction There are no pre-requisites May be useful for students who intend to follow CSA3200 (Adaptive Hypertext Systems) in 4th year

3 Aims Helping to keep bookmark files organised When a user chooses to bookmark a web page, system recommends one of the user’s existing categories (instead of just last location saved to, or bookmark root)

4 How? 2 algorithms to perform bookmark classification –One builds a representative document of each category (will be provided) –Second approach is up to you An additional utility may be proposed to improve results –E.g., synonym recognition

5 Why? Having organised bookmark files will enable us to do… –Automatic query generation from bookmark files –Web page recommendation based on other people’s bookmark files –…

6 How? Start with Open Source framework provided by Ian Bugeja in his HyperBK project Build algorithms Build evaluation platform for your system –I will provide 8 bookmark files for you to use You can remove some URLs at random to see if your algorithms classify them correctly You will also attempt to reconstruct each bookmark file from scratch!

7 Evaluation I will provide another 20 bookmark files (with some URLs randomly removed) for you to use to evaluate your algorithms Students who have the best performing algorithms and best reports will have opportunity to continue working on system for FYP and to submit co-authored paper to leading IR/Adaptive systems conference

8 Tools I recommend… –Mozilla Firefox –Xul (XML User Interface Language) and JavaScript A tutorial on Xul will be provided –Google API –You’ll be able to use Ian Bugeja’s framework and your plug- in will be portable! But you’re free to use any other browser, platform, language