[maemo-developers] [GSoC09]]Semantic-Based Context-aware Personalized News reader System for Maemo--Report #2

[From: FENG GAO]

Hello,all:

   In the past two weeks, I have done following works:
1. Write a test script for semantic module, then other developers can test
it
2. Write a simple xml format user profile file, then user can import and
export their interest later
3. Revise the semantic module, add a new class named profile into it to
represent the basic class of item profile and user profile.
4. Revise the recommendation algorithm
5. Integrate the semantic module into gpodder

   Problems:
1. The algorithm still needs to be re-designed. The current algorithm seems
not to be accurate. Most of items are given a high score(>0.8), it's due to
the semantic similarity measure algorithm is not very good. I will try to
read some papers and adopt some new ideas. Later, I will revise this part to
fix the problem.
2. Because I spent much more time on the integration than expected, I should
postpone the mining interest work to next bi-week.
3. The opencalais may categorize one word into different type, For example,
the word "Linux" may be have a type "Technology" or a type
"OperatingSystem". So how to correctly generate the user profile is a
problem. And how to let user edit the userprofile is another import problem.

   Future  Plans:
1. If possible, I want to take the relation between two words, the topic
category, the social tag( new feature introduced by opencalais 4.1) into
account to calculate the semantic similarity measure.
2. I will work on the gpodder to add some essential UIs for user to edit the
userprofile and import and export it.
3. Start to consider which context information should be taken into account.
LIke the location, city info maybe useful for user to filter some news? Any
other useful context? Please tell me if you have some good ideas about it!

     If you are interested in my project, then you can find much more
information on http://garage.maemo.org/projects/newssprite. You can also
check out the code on the svn repository.

     Any comments and suggestions are welcome.Thanks.
-- 
--Feng GAO
--School of Computer
--Beijing University of Posts and Telecommunications
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