David
Graus

De Volksrant wrote published an article on Dutch robo-journalism, where I’m featured on explaining our SMART Journalism recommender system + abstractive summarization plans.

Read the article by clicking on the image below:

And read more about our SMART Journalism project in our position paper:

• M. Sappelli, D. M. Chu, B. Cambel, D. Graus, and P. Bressers, “Smart journalism: personalizing, summarizing, and recommending financial economic news,” in The algorithmic personalization and news (apen18) workshop at icwsm ’18, 2018.
  [Bibtex]

  @inproceedings{sappelli2018smart,
  title={SMART Journalism: Personalizing, Summarizing, and Recommending Financial Economic News},
  author={Sappelli, Maya and Chu, Dung Manh and Cambel, Bahadir and Graus, David and Bressers, Philippe},
  booktitle={The Algorithmic Personalization and News (APEN18) Workshop at ICWSM '18},
  year={2018}
  }

Together with Anne Schuth and Daan Odijk I’ll be co-organizing The Dutch-Belgian Information Retrieval workshop (DIR 2019). At DIR 2018, we sat down during lunch and came up with the following plan:

#DIR2019 will try something new. Top ranked IR papers from WWW, WSDM, CIKM, NeurIPS, RecSys, CHI, CHIIR, KDD, ECIR, ACL, EMNLP (in no particular order, open to suggestions) with authors in NL & BE will be invited to present their work in a lightning talk⚡#DIR2018

— DIR 2019 – Lightning talk Edition (@dir_2019) 23 november 2018

We also decided on a date: November 29, 2019!

For now, the most import work is done (designing a logo, and setting up our Twitter account ;-)). Stay tuned for more, later! And follow @dir_2019 for now ⚡.

Really happy and proud of our amazing AI team for winning the (first) Marconi Online Award at the Gouden RadioRing Gala, for BNR SMART Radio!

SMART Radio is the first product that comes out of our FD Mediagroup AI team! SMART Radio is released in beta for iOS (anytime) and Android, give it a try by downloading it here: https://bnr.nl/smartradio.

Read more about SMART Radio in our demo paper, presented at DIR 2018:

• M. Sappelli, D. M. Chu, B. Cambel, J. Nortier, and D. Graus, “Smart radio: personalized news radio,” in The 17th dutch-belgian information retrieval workshop, 2018.
  [Bibtex]

  @inproceedings{sappelli2018smartradio,
  title={SMART Radio: Personalized News Radio},
  author={Sappelli, Maya and Chu, Dung Manh and Cambel, Bahadir and Nortier, Joeri and Graus, David},
  booktitle={The 17th Dutch-Belgian Information Retrieval workshop},
  year={2018}
  }

I created another logo!

It is the textpipe logo, for textpipe;

a Python package for converting raw text in to clean, readable text and extracting metadata from that text.

textpipe’s readme

A package we’re developing together with our friends at De Persgroep and RTL Nederland :-).

In the latest AI Podcast, I am featured, talking with Li’ao Wang on our SMART Radio and SMART Journalism projects. Stream the episode below!

“Media is smart, but needs to get smarter. That’s what we’re working on here at the FD Mediagroep. Come and see what we do with AI to make our creators and content better.”

Stream on BNR

Stream on Spotify

• Read more at BNR.nl
• Link to episode on Spotify

We’re demo’ing SMART Radio at The 17th Dutch-Belgian Information Retrieval workshop (DIR 2018). We wrote a short paper titled “SMART Radio: Personalized News Radio” to accompany the demo, read it by clicking below!

• M. Sappelli, D. M. Chu, B. Cambel, J. Nortier, and D. Graus, “Smart radio: personalized news radio,” in The 17th dutch-belgian information retrieval workshop, 2018.
  [Bibtex]

  @inproceedings{sappelli2018smartradio,
  title={SMART Radio: Personalized News Radio},
  author={Sappelli, Maya and Chu, Dung Manh and Cambel, Bahadir and Nortier, Joeri and Graus, David},
  booktitle={The 17th Dutch-Belgian Information Retrieval workshop},
  year={2018}
  }

Our position paper ““Let Me Tell You Who You are” — Explaining Recommender Systems by Opening Black Box User Profiles” was accepted at the 2nd FATREC Workshop on Responsible Recommendation, held at RecSys ’18!

In this paper, we detail some our ideas and approaches of providing transparency in recommendations through displaying the user profiles, used ‘internally’ by our recommender system. Read the pre-print below!

• D. Graus, M. Sappelli, and D. M. Chu, ““let me tell you who you are” — explaining recommender systems by opening black box user profiles,” in The 2nd fatrec workshop on responsible recommendation, 2018.
  [Bibtex]

  @inproceedings{graus2018let,
  title={“Let Me Tell You Who You are” — Explaining Recommender Systems by Opening Black Box User Profiles},
  author={Graus, David and Sappelli, Maya and Chu, Dung Manh},
  booktitle={The 2nd FATREC Workshop on Responsible Recommendation},
  year={2018}
  }

In the magazine IP (“journal for information professionals”) I am interviewed as one of three young professionals who show that ‘traditional categories and conceptual frames need to be readjusted.’

More specifically, it describes how my multi-disciplinary background, with an academic background in media studies, professional experience in the media, with a PhD in computer science, is important in bridging the gap between ‘techies’ and ‘non-techies’, and of particular value in my current role where I work on enabling AI in media. 

In the context of a high-profile legal case (involving a bunch of data acquired from encrypted “Ennetcom” phones) I assisted lawyer Inez Weski in acquiring insights and trying to understand how digital forensic tools were used in the collection of digital evidence. I did this work in the context of my PhD research on semantic search for E-Discovery. In this post, I list some of the publications that followed from my work and the case.

De Volkskrant: “Met deze eigen zoekmachine spit de politie schatten aan digitaal bewijs door”

Hansken is the search engine developed by the Netherlands Forensic Institute, and used by the police and public prosecutors. In this article in De Volkskrant, titled “Met deze eigen zoekmachine spit de politie schatten aan digitaal bewijs door,” I answered a few questions and explained my view on the role of Hansken in the court of law and digital evidence acquisition.

NEMO Kennislink: “Het sleepnet van Justitie”

For more information on the case and my work, there’s a more in-depth piece on my work for Weski in the following NEMO Kennislink article, which details my findings and concerns with respect to using a proprietary, continuously developed, and largely black-box tool for collecting digital forensic evidence:

Crimesite: “Hoe het pgp-sleepnet wel (en niet) werkt (#2)”

Finally, if you still didn’t have enough, there’s a blog post on crimesite which explains a bit more on the (legal) case, and some interpretations on my report and findings; 

In RTL XL’s “How it’s done” me and Company.info’s CTO Henk Pijper explain why and how we apply AI and data science at Company.info to gain insights from online news.