ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to deal with click models used in Information Retrieval (see next README.md) and intended to be easy-to-read and easy-to-modify. If it's not, please let me know how to improve it :)
Currently all the new code has to support the intent probabilities. This requires thinking about correct probabilities and marginalization all the time and just makes the code complex. We should make the core easier to extend, possibly by dropping support of these probabilities.
Currently all the new code has to support the intent probabilities. This requires thinking about correct probabilities and marginalization all the time and just makes the code complex. We should make the core easier to extend, possibly by dropping support of these probabilities.