Thank you for your interest in our work:
[1] Yu, R. , Gadiraju, U. , Holtz, P. , Rokicki, M. , Kemkes, P. and Dietze, S. Predicting User Knowledge Gain in Informational Search Sessions. 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, 2018.
On this page you can find the relevant resources that are mentioned in the paper.
The unfiltered dataset is accessible on github: Dataset
The complete evaluation results mentioned in Section 7 is accessible via the links below:
If you'd like to find out more about the interesting analysis we have done on this dataset, please refer to the following paper:
[2] Gadiraju, U. , Yu, R. , Dietze, S. and Holtz, P. Analyzing Knowledge Gain of Users in Informational Search Sessions on the Web. 2018 ACM on Conference on Human Information Interaction and Retrieval (CHIIR), 2018
Please don't hesitate to contact us in case you have any questions, suggestions or comments.
Contacting email: yu[at]l3s.de