July 30, 2020 Xi'an, China

The 3rd International Workshop on ExplainAble Recommendation and Search (EARS 2020)

Co-located with The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

About

The motivation of the workshop is to promote the research and application of Explainable Recommendation and Search, under the background of Explainable AI in a more general sense. Explainable recommendation and search attempt to develop models or methods that not only generate high-quality recommendation or search results, but also intuitive explanations of the results for users or system designers, which can help improve the system transparency, persuasiveness, trustworthiness, and effectiveness, etc.

In a broader sense, researchers in the whole artificial intelligence community have also realized the importance of Explainable AI, which aims to address a wide range of AI explainability problems in deep learning, computer vision, automatic driving systems, and natural language processing tasks. Recent AI regulations such as EU GDPR and California Consumer Privacy Act of 2018 also encourage the explainability and users' right to explanation of algorithmic decisions in AI systems. As an important branch of AI research, it highlights the importance our IR/RecSys community to address the explainability issues of various recommendation and search systems.

We welcome contributions of both long and short papers from a wide range of topics, including but not limited to explainable recommendation and search models, incorporating multi-modal information for explanation, evaluation of explainable recommendation and search, user study for explainable recommendation and search, etc. More topics are listed in the call for papers. Papers must be submitted to easychair at https://easychair.org/conferences/?conf=ears2020 by 23:59, AoE (Anywhere on Earth) on May 26, 2020.

EARS'20 (co-located with SIGIR'20)
Xi'an, China
Sponsers

Program

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Keynote Speech

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Accepted Papers

TBC

Call for Papers

We welcome contributions of both long and short papers from a wide range of topics, including but not limited to the following topics of interest:

  1. New Models for Explainable Recommendation and Search
    • Explainable shallow models for recommendation and search
    • Explainable neural models for recommendation and search
    • Explainable sequential modeling
    • Explainable optimization algorithms and theories
    • Causal inference for explainable recommendation
  2. Using Different Information Sources for Explanation
    • Text-based modeling and explanation
    • Image-based modeling and explanation
    • Using knowledge-base for explanation
    • Audio/Video-based modeling and explanation
    • Integrating heterogenous information for explanation
  3. User Behavior Analysis and HCI for Explanation
    • Explanation and user satisfaction
    • Eye tracking and attention modeling
    • Mouse movement analysis
  4. New Types of Explanations for Search and Recommendation
    • Textual sentence explanations
    • Visual explanations
    • Statistic-based explanations
    • Aggregated explanations
    • Context-aware explanations
  5. Evaluation of Explainable Recommendation and Search
    • Offline evaluation measures and protocols
    • Online evaluation measures and protocols
    • User study for explanation evaluation
  6. Applications of Explainable Recommendation and Search
    • Explainable product search and recommendation
    • Explainable web search
    • Explainable social recommendation
    • Explainable news recommendation
    • Explainable point-of-interest recommendation
    • Explainable multi-media search and recommendation

PAPER SUBMISSION GUIDLINES

EARS 2020 paper submissions can either be long (maximum 9 pages plus reference) or short (maximum 4 pages plus reference). Each accepted paper (no matter short or long) will have an oral presentation in a plenary session, and will also be allocated a presentation slot in a poster session to encourage discussion and follow up between authors and attendees.

EARS 2020 submissions are double-blind. All submissions and reviews will be handled electronically. EARS 2020 submissions should be prepared according to the standard double-column ACM SIG proceedings format. Additional information about formatting and style files is available on the ACM website. Papers must be submitted to easychair at https://easychair.org/conferences/?conf=ears2020 by 23:59, AoE (Anywhere on Earth) on May 26, 2020.

For inquires about the workshop and submissions, please email to ears2020@easychair.org

Important Days

All time are 23:59, AoE (Anywhere on Earth)
May 26, 2020: Submission due
June 07, 2020: Paper notification
June 30, 2020: Camera ready submission
July 30, 2020: Workshop day

Workshop Co-Chairs

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Yongfeng Zhang Rutgers University

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Xu Chen University College London

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Yi Zhang UC Santa Cruz

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Min Zhang Tsinghua University

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Chirag Shah University of Washington

THE VENUE

EARS'20 will be co-located with The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, to be held at Xi'an, China on July 30, 2020.