MassiveClicks: A Massively-Parallel Framework for Efficient Click Models Training

Skip Thijssen, Pooya Khandel, Andrew Yates, Ana Lucia Varbanescu

Abstract: Click logs collect user interaction with information retrieval systems (e.g., search engines). Clicks therefore become implicit feedback for such systems, and are further used to train click models, which in turn improve the quality of search and recommendations results. Click models based on expectation maximization (EM) are known to be effective and robust against various biases.