Conversational Search and Recommendation

Introduction to the Special Issue

Review (2021)

Authors

C. Hauff Web Information Systems - EEMCS
Mark Sanderson Sanderson Royal Melbourne Institute of Technology University
Hamed Zamani Zamani University of Massachusetts Amherst
Yongfeng Zhang Rutgers University–New Brunswick
Research Group
Web Information Systems (EEMCS) (TU Delft)
Copyright: © 2021 C. Hauff, Julia Kiseleva, Mark Sanderson, Hamed Zamani, Yongfeng Zhang
DOI: https://doi.org/10.1145/3465272
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Published Date

2021

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Web Information Systems

Abstract

An introduction to the special issue on conversational search and recommendation is presented in this article. While conversational search and recommendation has roots in early Information Retrieval (IR) research, the recent advances in automatic voice recognition and conversational agents have created increasing interest in this area. In recent years, the IR and related communities have witnessed a number of major contributions to the field of conversational search and recommendation. They include but are not limited to conversational search conceptualization. The growing body of work in this area has been supplemented by an increasing number of recent seminars.

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