Digitalization is completely transforming business models and paves the way for innovative online products. Data and Machine Learning play a central role in this transformation, enabling products that customers love, and at the same time optimize company revenues.

This track at AMLD 2021 addresses the application of Data Products to business models that share the important aspect of online user interactions. These include but are not limited to online media, online advertisement, online games, online marketplaces, online shopping, online banking and any other B2C online service.

We invite submissions from both researchers and practitioners that work in the broad field of Online Business. Practical war stories are especially encouraged, but theoretical foundations are also of strong interest. We are looking forward to discuss the latest developments in this exciting field!

Each contribution consists of 15min presentation, followed by 5min discussion time.

If you agree, your talk will be recorded and published online. This gives you a nice take-away to share later on!

About your presentation

• Language: all presentations are in English
• Duration: we would like to keep the sessions interesting, full of energy and fast-paced, thus we’re looking for short talks of at most 15 minute length. We will be on a tight schedule and will enforce the time limits rigorously. We suggest that you time your presentation in advance.
• Audience: your public will be made of researchers, practitioners, students, with different levels of knowledge and expertise. We suggest not to dig into very technical details. Still, feel free to provide references and pointers in case someone is interested in investigating further!
• Focus: the best presentations have a point. And one point only. Keep both your talk and its proposal concise and focused. A rule of thumb is the following: if you need more than three paragraphs for your proposal, try to reduce its scope.

Selection process

Here’s how presentations will be selected:

1. All submissions are anonymized, so that there is no bias towards the submitter.
2. All submissions are reviewed and voted for by the conference and track organizers. Each presentation is rated on a scale from 1 to 10 by different reviewers, and the marks are averaged. The evaluation takes into account the following criteria:
   1. relevance of the topic to the ML community and for the track
   2. coherence and clarity of the proposal
   3. novelty/originality of the topic
   4. consistency with the time limits
3. The top submissions are then de-anonymized so we can take speaker details into account.

Video recording for presentations

We plan to record and publish all talks online for free, along with a recording of the slide deck, live demo, and any on-presenter-screen activity. We do this for the benefit of the larger ML community and those who couldn’t make it to the conference. Since you retain full ownership of your slides and recording, we’d like to ask you to make your materials and recording available under a Creative Commons (we default to non-commercial reuse) or other open source licenses.

We hope you agree with us, but if you are uncomfortable with this in any way, let us know.

If in doubt, reach out! If you have an idea for a presentation but are unsure, please talk to us! Reach out to info@appliedmldays.org.

Apply now by filling this form