[agents] CFP: AAAI-20 Workshop on Interactive and Conversational Recommendation Systems (WICRS)

[Scott Sanner]

For folks interested in the agent modeling side of interactive
recommendation...

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CALL FOR PAPERS

AAAI-20 Workshop on Interactive and Conversational Recommendation Systems
(WICRS)

https://sites.google.com/view/wicrs2020

New York, NY, February 7-8, 2020
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This workshop is positioned as a forum to present and discuss novel
research directions in interactive and conversational recommender systems
as well as constituent AI technologies that represent the next generation
of recommender systems and personalized, conversational assistants.

Historical work on recommender systems focused on interactive and
conversational aspects as evidenced by the large literature on
critiquing-based interaction dating back to the 1990’s.  With the dawn of
the Netflix Challenge, a sizable fraction of recommendation research
shifted away from interaction and conversation and focused more on formal
machine learning aspects of training objectives and optimization on offline
data.  However, recent years have seen an increase in work in interactive,
sequential (e.g., session-based) interactions with recommender systems.
Furthermore, the rise of Conversational AI-based assistants in the form of
Apple’s Siri, Amazon’s Alexa, and the Google Assistant have re-invigorated
interest in dialog-based sequential interaction, with a limited degree of
personalization.

Encouraged by this recent interest in interactive and conversational
recommender systems, the workshop aspires to bring together AI researchers
from recommender systems, machine and reinforcement learning, dialog
systems, natural language processing, human computer interaction,
psychology and econometrics for a day of research presentations and open
discussion about the future of this high impact and highly
cross-disciplinary research area.

Workshop topics:
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Topics include (but are not limited to):

* Goal-directed and Personalized Conversational AI
* Critiquing-based Recommendation Systems
* Reinforcement Learning in Multi-turn Interactions
* User Privacy and Security
* Multimodal Context and Situation-aware Modeling
* Preference Elicitation and Preference Construction
* Recommendation with Complex Preferences
* Explanations and Endorsements in Recommendation
* Human-Computer Interaction in Recommendation
* Grounding Dialog in Preferences and Constraints
* Natural Language Expression of Preferences
* Expressing Preferences over Latent Embeddings
* Simulation Environments and Benchmark Datasets
* Evaluation and Metrics
* User Choice Modeling
* Theory of Mind and Mental Model Representations

Important Dates:
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* Paper submission:  November 15, 2019
* Notifications of acceptance: December 4, 2019
* Camera-ready due:  December 21, 2019
* Workshop date:  February 7th or 8th, 2020 (one day)

Submission Procedure:
=====================

We welcome previously unsubmitted work, papers submitted to the main AAAI
conference, and papers reporting research already published provided they
align well with the workshop topic.

Three types of submissions are solicited:

- Full-length papers (up to 7 pages + 1 page for references in AAAI format)
- Challenge or position papers (2 pages + 1 page for references in AAAI
format)
- Already published papers (1 page: an abstract in AAAI format with a link
to the full paper)

Paper Submissions should be made through the workshop EasyChair web site

  https://easychair.org/conferences/?conf=wicrs20

Organizers (wicrs20 at easychair.org):
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 * Scott Sanner, University of Toronto
 * Tyler Lu, Google Research
 * Joyce Chai, U. of Michigan
 * Deepak Ramachandran, Google Research
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