Matches made in heaven: Toolkit and large-scale datasets for supervised query reformulation

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

Abstract

This paper presents a toolkit and large-scale datasets for supervised query reformulation, advancing the field of query understanding and improvement.

Type
Conference paper
Publication
Proceedings of the 30th ACM International Conference on Information & Knowledge Management

This work provides comprehensive tools and datasets for advancing query reformulation research.

Query Reformulation Toolkit Large-Scale Datasets Supervised Learning Information Retrieval
Morteza Zihayat
Morteza Zihayat
Principal Investigator

Dr. Morteza Zihayat is an Assistant Professor in the School of Information Technology Management at Toronto Metropolitan University and the Director of the Human-Centered Machine Intelligence Lab.