We are giving a week course at the RuSSIR 2016 summer school. This is an extended version of the two half-day tutorials we gave at SIGIR 2015 with live demos and practical sessions.
“Click Models for Web Search”
Click models, probabilistic models of the interaction behavior of search engine users, have been studied extensively by the information retrieval community in recent years. We now have a handful of click models, parameter estimation methods, evaluation principles and applications of click models, that form the building blocks of ongoing research efforts in the area. Moreover, click models appear in many areas of IR, such as ranking, evaluation, user simulation, etc., and thus are an important tool for junior researchers.
The course is based on a recently published book on click models and covers a wide range of topics: from basic to advanced click models and from click model estimation and evaluation techniques to applications of click models. Most topics are augmented with live demos, where the participants can try the presented material in practice. Also, the course features two practical sessions, where the participants have a chance to implement a basic and an advanced click models using open-source tools and publicly available datasets with click logs. The course will be useful as an overview for anyone starting research work in IR as well as for practitioners seeking concrete recipes.
To follow the live demos and practical sessions, the participants need to have a laptop with the following software installed: Python, PyPy, enum34, PyClick. The detailed setup is available [here].
The course is based on a recently published book on click models and covers a wide range of topics: from basic to advanced click models and from click model estimation and evaluation techniques to applications of click models. Most topics are augmented with live demos, where the participants can try the presented material in practice. Also, the course features two practical sessions, where the participants have a chance to implement a basic and an advanced click models using open-source tools and publicly available datasets with click logs. The course will be useful as an overview for anyone starting research work in IR as well as for practitioners seeking concrete recipes.
To follow the live demos and practical sessions, the participants need to have a laptop with the following software installed: Python, PyPy, enum34, PyClick. The detailed setup is available [here].
The participants of the course will get the following support materials:
- Author's version of the book
- Copy of the slides
- Code and data samples to follow live demos
Practical sessions
russir2016-clickmodels-demos.zip | |
File Size: | 1446 kb |
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russir2016-clickmodels-practicals.zip | |
File Size: | 1447 kb |
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russir2016-clickmodels-practical1.pdf | |
File Size: | 1012 kb |
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russir2016-clickmodels-practical2.pdf | |
File Size: | 791 kb |
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Lectures
russir2016-cheatsheet.pdf | |
File Size: | 482 kb |
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russir2016-clickmodels-lecture1.pdf | |
File Size: | 1787 kb |
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russir2016-clickmodels-lecture2.pdf | |
File Size: | 1417 kb |
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russir2016-clickmodels-lecture3.pdf | |
File Size: | 1216 kb |
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russir2016-clickmodels-lecture4.pdf | |
File Size: | 2618 kb |
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russir2016-clickmodels-lecture5.pdf | |
File Size: | 2823 kb |
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grotov_clef2015.pdf | |
File Size: | 404 kb |
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