Synergizing local and global models for matrix approximation
Chao Chen, Hao Zhang, et al.
CIKM 2019
Providing high-level, intuitive explanations of the performance of IR systems is generally difficult due to their complexity, and the various low-level implementation details involved. We present I-REX, a tool built on top of Lucene, that is intended to provide a systematic view into the inner workings of retrieval models and methods (specifically query expansion). This should help researchers study, compare, understand and explain the performance of these models and methods. I-REX can be run either as a Web service accessible through a browser, or as a terminal-based tool with a shell-like interactive interface. In this article, we describe a session that illustrates how I-REX can be used to explain the observed difference in the performance of two variants of the Language Model.
Chao Chen, Hao Zhang, et al.
CIKM 2019
Suhang Wang, Charu Aggarwal, et al.
CIKM 2019
Dwaipayan Roy, Mandar Mitra, et al.
JDIQ
Dwaipayan Roy, Debasis Ganguly, et al.
CIKM 2018