The 1st Workshop on Machine Learning and Data Mining for Podcasts (MLDM4P), 2018

Call For Papers

Podcast content has become a major channel for information, entertainment, and advertising. Tens of thousands of podcasts are produced on a daily basis. However, whereas traditional media (news, music, and video) has received extensive attention from the data science and machine learning research communities, research into podcast content modeling, recommendation, and interaction is relatively neglected.

The 1st International Workshop on Machine Learning and Data Mining for Podcasts (MLDM4P), collocated with KDD 2018 will bring together researchers and practitioners in machine learning and data science (e.g., speech, music, text, information retrieval, data mining, and recommender systems) with developers and entrepreneurs in podcasting to discuss practical challenges and research opportunities around podcast content modeling, recommendation and interaction. Although speech and music are important ingredients of podcasts, as a medium, podcasts present heterogeneous content, diverse consuming intentions and unique listening behavior. This workshop is a timely venue to engage researchers and practitioners from different fields to discuss the challenges and opportunities of understanding and serving this burgeoning medium.

Topics of interest for the workshop include, but not limited to, the following

  • Podcast Content Modeling
    1. Speech modeling and understanding for podcasts
    2. Natural language processing for podcasts
    3. Podcast content search
    4. Podcast summarization
    5. Data mining for podcast
  • Podcast Recommendation
    1. Listener modeling and profiling
    2. Recommendation algorithms for podcast, including: Contextual podcast recommendation, filter bubbles and echo chambers, interactive podcast recommendation
  • Podcast Interaction
    1. Personal assistants, including recommendation through voice interface, e.g., Amazon Echo and Google Home
    2. User interaction and interfaces for podcast consumption, including podcast applications
  • Podcast Market
    1. Content production and curation
    2. Content distribution
    3. User consumption patterns
    4. Monetization model

Important Dates

  • Submission deadline: May 8, 2018, 11:59 PM EST

  • Notification deadline: June 8, 2018, 11:59 PM EST

  • Workshop Date: August 20, 2018

Submission Guidelines

Authors are encouraged to submit position, ongoing or recent research related to topics of interests. The workshop program committee will consider all submitted papers and will decide which papers are to be presented as oral or poster presentations. Accepted submissions will be considered non-archival and can be submitted elsewhere without modification. Moreover, submissions to the workshop based on recently published work are also acceptable (though authors should explicitly make note of this in their submissions).

Submission format Submitted paper should be up to 3 pages long (not including references). Submissions are not blind: author names and affiliations should appear on the first page. Papers should be formatted using the 2017 ACM Master Article Template. For LaTeX users, choose `format=sigconf`. This is the typical, two-column proceedings-style template. Authors do not need to include terms, keywords, or other front matter in their submissions.

*Instructions adapted from SysML.

Submission Link:


Additional Steering Committee

Program Committee



If you have any questions, please contact Longqi Yang