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Revision 51 as of 2009-10-25 00:16:39
AD Teaching Wiki:
  • SearchEnginesWS0910

Welcome to the Wiki page of the course Search Engines, WS 2009 / 2010. Lecturer: Hannah Bast. Tutorials: Marjan Celikik. Course web page: click here.

Exercise Sheet 1

Here is a PDF of the slides of Lecture 1.

Here is a PDF of Exercise Sheet 1.

Introduce yourself on this page please (Exercise 1).

Upload your results to Exercise Sheet 1 on this page please.

Questions or comments below this line, most recent on top please

To Johannes: How did you solve the problem? I have logged in my account as my name, and my email links only this account. But I still get the error message 'You can't change ACLs on this page since you have no admin rights on it! ' when I try to enter '#acl ZhongjieCai:read,write -All:read ' to the first line of the page... Zhongjie 25Oct09 01:15am

Problem solved. To everybody: don't try to create multiple users with the same e-mail address. Johannes 25Oct09 00:21am

Oh, I see, well that *must* be your user name. Sorry for not making that clear earlier. Please create an account with that user name and try again. Hannah 25Oct09 00:02am

No that is not my user name. Johannes 24Oct09 11:58pm

Hi Johannes, if you are logged in as JohannesStork you should be able to see it, did you try that? Hannah 24Oct09 11:59pm

I don't know if this is the right place to ask, but I can't access my exercise page. It says "Sie dürfen diese Seite nicht ansehen." Johannes 24Oct09 11:50pm

Good question, Johannes. Please upload the source code separately, either as a .zip or .tgz archive. I have modified the instructions on the upload page accordingly. Sorry if that means additional work for you, we weren't expecting anybody to submit so early ... Hannah 24Oct09 11:43pm

Shall we put the whole source into the PDF? What about tar.gz? Johannes 24Oct09 5:18pm

Hi Johannes + all, the slides are now availabe as PDF, see the link above. Hannah 23Oct09 17:04

Note about Exercise 5: One can assume that a more general model of the word frequencies is given than that given in the lecture, i.e. eps * N * (1 / i^alpha). Now both parameters (eps and alpha) can be estimated simultaneously. Marjan 23Oct09 3:29pm

Can you provide the slides as PDF? Johannes 23Oct09 10:05am

Please note that the deadline for uploading your solutions of the exercises is always Monday, 23:59 (sharp). Marjan 22Oct09 6:15pm

When you add a question or comment here, please end it with your name and the date and time in bold face, just like I did now. Hannah 22Oct09 01:59am

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