Query Performance Prediction Through Retrieval Coherency

Negar Arabzadeh, Amin Bigdeli, Morteza Zihayat, Ebrahim Bagheri
January 2021

Abstract

This paper presents methods for query performance prediction through retrieval coherency analysis, improving search effectiveness prediction.

Type
Conference paper
Publication
European Conference on Information Retrieval (ECIR)

This work introduces retrieval coherency-based approaches for query performance prediction.

Query Performance Prediction Retrieval Coherency Information Retrieval Search Effectiveness Performance Analysis
Morteza Zihayat
Morteza Zihayat
Principal Investigator

Dr. Morteza Zihayat is a Canada Research Chair (CRC) in Human-Centered AI and Associate Professor at Toronto Metropolitan University, Faculty of Engineering and Architectural Science. He also holds appointments as Adjunct Associate Professor at the University of Waterloo (Management Sciences) and IBM Faculty Fellow at IBM Centre for Advanced Studies. He is the Director of the Human-Centered Machine Intelligence Lab.