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tutorial

WSDM 2021 Tutorial on Conversational Recommendation Systems

Authors:

Yongfeng Zhang,

Yi ZhangAuthors Info & Claims

WSDM '21: Proceedings of the 14th ACM International Conference on Web Search and Data Mining

Pages 1134 - 1136

https://doi.org/10.1145/3437963.3441661

Published: 08 March 2021 Publication History

Abstract

Recent years have witnessed the emerging of conversational systems, including both physical devices and mobile-based applications. Both the research community and industry believe that conversational systems will have a major impact on human-computer interaction, and specifically, the IR/DM/RecSys communities have begun to explore Conversational Recommendation Systems. Conversational recommendation aims at finding or recommending the most relevant information (e.g., web pages, answers, movies, products) for users based on textual- or spoken-dialogs, through which users can communicate with the system more efficiently using natural language conversations. Due to users' constant need to look for information to support both work and daily life, conversational recommendation system will be one of the key techniques towards an intelligent web. The tutorial focuses on the foundations and algorithms for conversational recommendation, as well as their applications in real-world systems such as search engine, e-commerce and social networks. The tutorial aims at introducing and communicating conversational recommendation methods to the community, as well as gathering researchers and practitioners interested in this research direction for discussions, idea communications, and research promotions.

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Cited By

Ma YZiegler JBoratto LGena CMarras MGermanakos PPopescus E(2024)The Effect of Proactive Cues on the Use of Decision Aids in Conversational Recommender SystemsAdjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization10.1145/3631700.3665186(305-315)Online publication date: 27-Jun-2024
https://dl.acm.org/doi/10.1145/3631700.3665186
Ma YZiegler J(2024)Investigating meta-intents: user interaction preferences in conversational recommender systemsUser Modeling and User-Adapted Interaction10.1007/s11257-024-09411-3Online publication date: 24-Sep-2024
https://doi.org/10.1007/s11257-024-09411-3
Ma YZiegler J(2023)Initiative transfer in conversational recommender systemsProceedings of the 17th ACM Conference on Recommender Systems10.1145/3604915.3608858(978-984)Online publication date: 14-Sep-2023
https://dl.acm.org/doi/10.1145/3604915.3608858
Show More Cited By

Index Terms

WSDM 2021 Tutorial on Conversational Recommendation Systems
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Recommender systems

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cover image ACM Conferences

WSDM '21: Proceedings of the 14th ACM International Conference on Web Search and Data Mining

March 2021

1192 pages

ISBN:9781450382977

DOI:10.1145/3437963

General Chairs:
Liane Lewin-Eytan
Amazon, Israel
,
David Carmel
Amazon, Israel
,
Elad Yom-Tov
Microsoft, Israel
,
Program Chairs:
Eugene Agichtein
Emory University and Amazon, USA
,
Evgeniy Gabrilovich
Google Health, USA

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 08 March 2021

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WSDM '21: The Fourteenth ACM International Conference on Web Search and Data Mining

March 8 - 12, 2021

Virtual Event, Israel

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Overall Acceptance Rate 498 of 2,863 submissions, 17%

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Cited By

Ma YZiegler JBoratto LGena CMarras MGermanakos PPopescus E(2024)The Effect of Proactive Cues on the Use of Decision Aids in Conversational Recommender SystemsAdjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization10.1145/3631700.3665186(305-315)Online publication date: 27-Jun-2024
https://dl.acm.org/doi/10.1145/3631700.3665186
Ma YZiegler J(2024)Investigating meta-intents: user interaction preferences in conversational recommender systemsUser Modeling and User-Adapted Interaction10.1007/s11257-024-09411-3Online publication date: 24-Sep-2024
https://doi.org/10.1007/s11257-024-09411-3
Ma YZiegler J(2023)Initiative transfer in conversational recommender systemsProceedings of the 17th ACM Conference on Recommender Systems10.1145/3604915.3608858(978-984)Online publication date: 14-Sep-2023
https://dl.acm.org/doi/10.1145/3604915.3608858
Ma YDonkers TKleemann TZiegler J(2023)An Instrument for measuring users’ meta-intentsProceedings of the 2023 Conference on Human Information Interaction and Retrieval10.1145/3576840.3578317(290-302)Online publication date: 19-Mar-2023
https://dl.acm.org/doi/10.1145/3576840.3578317
Gao JXiong CBennett PCraswell NGao JXiong CBennett PCraswell N(2023)Proactive Human-Machine ConversationsNeural Approaches to Conversational Information Retrieval10.1007/978-3-031-23080-6_7(145-167)Online publication date: 17-Mar-2023
https://doi.org/10.1007/978-3-031-23080-6_7
Dalton JFischer SOwoicho PRadlinski FRossetto FTrippas JZamani HAmigo ECastells PGonzalo JCarterette BCulpepper JKazai G(2022)Conversational Information SeekingProceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3477495.3532678(3455-3458)Online publication date: 6-Jul-2022
https://dl.acm.org/doi/10.1145/3477495.3532678
Xian YZhao HLee TKim SRossi RFu Zde Melo GMuthukrishnan SZhu FChin Ooi BMiao CWang HSkrypnyk IHsu WChawla S(2021)EXACTA: Explainable Column AnnotationProceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining10.1145/3447548.3467211(3775-3785)Online publication date: 14-Aug-2021
https://dl.acm.org/doi/10.1145/3447548.3467211
Zhai CDiaz FShah CSuel TCastells PJones RSakai T(2021)Interactive Information Retrieval: Models, Algorithms, and EvaluationProceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3404835.3462811(2662-2665)Online publication date: 11-Jul-2021
https://dl.acm.org/doi/10.1145/3404835.3462811

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