Conversational Search and Recommendation

Hauff, C.; Kiseleva, Julia; Sanderson, Mark; Zamani, Hamed; Zhang, Yongfeng

doi:10.1145/3465272

Conversational Search and Recommendation

Introduction to the Special Issue

Review (2021)

Authors

C. Hauff 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 () (TU Delft)

DOI: https://doi.org/10.1145/3465272

Conversational question answering Conversational recommendation Conversational search Interactive information retrieval;

To reference this document use:

http://resolver.tudelft.nl/uuid:ec99cb59-5f45-4bdc-baf9-83b33acc7267

More Info

expand_more

Published Date

2021

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

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.

Files

3465272.pdf

(pdf | 0.174 Mb)

Unknown license