Search engines are key components in the online world and the choice of search engine is an important determinant of the user experience. In this work we seek to model user behavio...
Search engine results are usually presented in some form of text summary (e.g., document title, some snippets of the page's content, a URL, etc). Based on the information con...
Our experiments in the Robust track this year focused on predicting query difficulty and using this prediction for improving information retrieval. We developed two prediction alg...
Elad Yom-Tov, Shai Fine, David Carmel, Adam Darlow...
We propose a parallel MPI search engine that is capable of automatically switching between asynchronous message passing and bulk-synchronous message passing modes of operation. Whe...
Modeling a user’s click-through behavior in click logs is a challenging task due to the well-known position bias problem. Recent advances in click models have adopted the examin...
Botao Hu, Yuchen Zhang, Weizhu Chen, Gang Wang, Qi...