Conversational Search and Recommendation

Introduction to the Special Issue

Review (2021)
Author(s)

C Hauff (TU Delft - Web Information Systems)

Julia Kiseleva (Microsoft)

Mark Sanderson (Royal Melbourne Institute of Technology University)

Hamed Zamani (University of Massachusetts Amherst)

Yongfeng Zhang (Rutgers University–New Brunswick)

Research Group
Web Information Systems
Copyright
© 2021 C. Hauff, Julia Kiseleva, Mark Sanderson, Hamed Zamani, Yongfeng Zhang
DOI related publication
https://doi.org/10.1145/3465272
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 C. Hauff, Julia Kiseleva, Mark Sanderson, Hamed Zamani, Yongfeng Zhang
Research Group
Web Information Systems
Issue number
4
Volume number
39
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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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