1 code implementation • 10 Jul 2023 • Kianté Brantley, Zhichong Fang, Sarah Dean, Thorsten Joachims
The feedback that users provide through their choices (e. g., clicks, purchases) is one of the most common types of data readily available for training search and recommendation algorithms.
no code implementations • 21 Dec 2018 • Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Maosong Sun, Zhichong Fang, Bo Zhang, Leyu Lin
There is recently a surge in approaches that learn low-dimensional embeddings of nodes in networks.
no code implementations • 5 Nov 2018 • Zhichong Fang, Aman Agarwal, Thorsten Joachims
To overcome this limitation, we propose a Contextual Position-Based Model (CPBM) where the examination bias may also depend on a context vector describing the query and the user.