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Conversational recommender systems offer the promise of interactive, engaging ways for users to find items they enjoy.
ACUTE-EVAL: Improved Dialogue Evaluation with Optimized Questions and Multi-turn Comparisons
Margaret Li, Jason Weston, and Stephen Roller. 2019 · 1909
Earlier work this paper cites.
The equivalence of weighted kappa and the intraclass correlation coefficient as measures of reliability
Joseph L Fleiss and Jacob Cohen. 1973 · 1973
Earlier work this paper cites.
The Measurement of Observer Agreement for Categorical Data
J. Richard Landis and Gary G. Koch. 1977 · 1977
Earlier work this paper cites.
Wizard of Oz studies: why and how. In IUI
Nils Dahlbäck, Arne Jönsson, and Lars Ahrenberg. 1993 · 1993
Earlier work this paper cites.
Context-Dependent Preferences
Amos Tversky and Itamar Simonson. 1993 · 1993
Earlier work this paper cites.
Knowledge-Based Navigation of Complex Information Spaces. In AAAI
Robin D. Burke, Kristian J. Hammond, and Benjamin C. Young. 1996 · 1996
Earlier work this paper cites.
The FindMe Approach to Assisted Browsing
Robin D. Burke, Kristian J. Hammond, and Benjamin C. Young. 1997 · 1997
Earlier work this paper cites.
Enriching buyers’ experiences: the SmartClient approach. In CHI
Pearl Pu and Boi Faltings. 2000 · 2000
Earlier work this paper cites.
Probabilistic Neural Networks Supporting Multi-Class Relevance Feedback in Region-Based Image Retrieval. In ICPR
ByoungChul Ko and Hyeran Byun. 2002 · 2002
Earlier work this paper cites.
The role of transparency in recommender systems. In CHI
Rashmi R. Sinha and Kirsten Swearingen. 2002 · 2002
Earlier work this paper cites.
Improving image retrieval effectiveness via multiple queries. In MMDB
Xiangyu Jin and James C. French. 2003 · 2003
Earlier work this paper cites.
Interacting with Explanations through Critiquing
Diego Antognini, Claudiu Musat, and Boi Faltings. 2020 · 2005
Earlier work this paper cites.
Modeling a dialogue strategy for personalized movie recommendations. In Beyond Personalization Workshop . 77–82
Pontus Wärnestål. 2005 · 2005
Earlier work this paper cites.
Matrix Factorization Techniques for Recommender Systems
Yehuda Koren, Robert M. Bell, and Chris Volinsky. 2009 · 2009
Earlier work this paper cites.
Evaluating Anthropomorphic Product Recommendation Agents: A Social Relationship Perspective to Designing Information Systems
Lingyun Qiu and Izak Benbasat. 2009 · 2009
Earlier work this paper cites.
BPR: Bayesian Personalized Ranking from Implicit Feedback. In UAI
Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2009 · 2009
Cited alongside, same era.
MoviExplain: a recommender system with explanations. In RecSys . ACM, 317–320
Panagiotis Symeonidis, Alexandros Nanopoulos, and Yannis Manolopoulos. 2009 · 2009
Cited alongside, same era.
Tagsplanations: explaining recommendations using tags. In IUI
Jesse Vig, Shilad Sen, and John Riedl. 2009 · 2009
Cited alongside, same era.
Designing and Evaluating Explanations for Recommender Systems
Nava Tintarev and Judith Masthoff. 2011 · 2011
Cited alongside, same era.
Critiquing-based recommenders: survey and emerging trends
Li Chen and Pearl Pu. 2012 · 2012
Cited alongside, same era.
Learning Attitudes and Attributes from Multi-aspect Reviews. In ICDM
Julian J. McAuley, Jure Leskovec, and Dan Jurafsky. 2012 · 2012
Towards Deep Conversational Recommendations. In NeurIPS
Raymond Li, Samira Ebrahimi Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, and Chris Pal. 2018 · 2018
Later among the works it cites.
Item recommendation on monotonic behavior chains. In RecSys
Mengting Wan and Julian J. McAuley. 2018 · 2018
Later among the works it cites.
Towards Conversational Search and Recommendation: System Ask, User Respond. In CIKM
Yongfeng Zhang, Xu Chen, Qingyao Ai, Liu Yang, and W. Bruce Croft. 2018 · 2018
Later among the works it cites.
Seeker: Real-Time Interactive Search. In KDD
Ari Biswas, Thai T. Pham, Michael Vogelsong, Benjamin Snyder, and Houssam Nassif. 2019 · 2019
Later among the works it cites.
Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue. In EMNLP-IJCNLP
Dongyeop Kang, Anusha Balakrishnan, Pararth Shah, Paul A. Crook, Y-Lan Boureau, and Jason Weston. 2019 · 2019
Later among the works it cites.
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Cited alongside, same era.
Interactive collaborative filtering. In CIKM
Xiaoxue Zhao, Weinan Zhang, and Jun Wang. 2013 · 2013
Cited alongside, same era.
Auto-Encoding Variational Bayes. In ICLR
Diederik P. Kingma and Max Welling. 2014 · 2014
Cited alongside, same era.
Explicit factor models for explainable recommendation based on phrase-level sentiment analysis. In SIGIR
Yongfeng Zhang, Guokun Lai, Min Zhang, Yi Zhang, Yiqun Liu, and Shaoping Ma. 2014 · 2014
Cited alongside, same era.
Image-Based Recommendations on Styles and Substitutes. In SIGIR
Julian J. McAuley, Christopher Targett, Qinfeng Shi, and Anton van den Hengel. 2015 · 2015
Cited alongside, same era.
User-controllable personalization: A case study with SetFusion
Denis Parra and Peter Brusilovsky. 2015 · 2015
Cited alongside, same era.
Towards Conversational Recommender Systems. In KDD
Konstantina Christakopoulou, Filip Radlinski, and Katja Hofmann. 2016 · 2016
Cited alongside, same era.
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects. In EMNLP
Jianmo Ni, Jiacheng Li, and Julian J. McAuley. 2019 · 2019
Later among the works it cites.
Deep Language-Based Critiquing for Recommender Systems. In RecSys (Copenhagen, Denmark)
Ga Wu, Kai Luo, Scott Sanner, and Harold Soh. 2019 · 2019
Later among the works it cites.
A Ranking Optimization Approach to Latent Linear Critiquing for Conversational Recommender Systems. In RecSys
Hanze Li, Scott Sanner, Kai Luo, and Ga Wu. 2020 · 2020
Later among the works it cites.
On the Variance of the Adaptive Learning Rate and Beyond. In ICLR
Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, and Jiawei Han. 2020 · 2020
Later among the works it cites.
How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements. In SIGIR
Noveen Sachdeva and Julian J. McAuley. 2020 · 2020
Later among the works it cites.
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion. In KDD . ACM, 1006–1014
Kun Zhou, Wayne Xin Zhao, Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen, and Jingsong Yu. 2020 · 2020
Later among the works it cites.
Neural Interactive Collaborative Filtering. In SIGIR
Lixin Zou, Long Xia, Yulong Gu, Xiangyu Zhao, Weidong Liu, Jimmy Xiangji Huang, and Dawei Yin. 2020 · 2020
Later among the works it cites.
Fast Multi-Step Critiquing for VAE-based Recommender Systems
Diego Antognini and Boi Faltings. 2021 · 2021
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e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks
Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, and Thomas Lukasiewicz. 2021 · 2021
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