Featured on the European Science-Media Hub

๐Ÿ“… June 5, 2019 โ€ข ๐Ÿ• 08:29 โ€ข ๐Ÿท Media โ€ข ๐Ÿ‘ 5

In the context of the upcoming workshop “AI and Journalism” Bennie Mols interviewed me for the website of the European Science-Media Hub, on how we apply AI in journalism for Het FD and BNR. Read the piece here:

Or read the more in-depth background interview here:

We won the AMMA Media-innovation award for our News Personalization projects at FD Mediagroep!

๐Ÿ“… May 17, 2019 โ€ข ๐Ÿ• 13:50 โ€ข ๐Ÿท Blog โ€ข ๐Ÿ‘ 27

After winning the Marconi award for radio innovation, yesterday we picked up the AMMA Award for Media Innovation for our news personalization efforts at FD Mediagroep (both SMART Journalism for Het FD and SMART Radio for BNR Nieuwsradio)!

It’s really great to see that our current investment into AI and innovation seems to resonate with the outside world ๐Ÿค–. And I am really happy to be with a company that sees this development as such an important direction that we are able to work with a big and talented team of data scientists, interns, engineers, and product folks ๐Ÿค“

Featured in De Volkskrant on SMART Journalism

๐Ÿ“… March 8, 2019 โ€ข ๐Ÿ• 16:20 โ€ข ๐Ÿท Media โ€ข ๐Ÿ‘ 1

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:

  • [PDF] 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}
    }

Featured in BNR’s “Artificial Intelligence Podcast” on AI in Media Part I: Tech

๐Ÿ“… November 27, 2018 โ€ข ๐Ÿ• 10:22 โ€ข ๐Ÿท Media โ€ข ๐Ÿ‘ 15

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

Position paper “โ€œLet Me Tell You Who You areโ€ โ€” Explaining Recommender Systems by Opening Black Box User Profiles”

๐Ÿ“… November 11, 2018 โ€ข ๐Ÿ• 11:21 โ€ข ๐Ÿท Papers โ€ข ๐Ÿ‘ 39

Our position paper “โ€œLet Me Tell You Who You areโ€ โ€” 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!

  • [PDF] D. Graus, M. Sappelli, and D. M. Chu, “โ€œlet me tell you who you areโ€ โ€” explaining recommender systems by opening black box user profiles,” in The 2nd fatrec workshop on responsible recommendation, 2018.
    [Bibtex]
    @inproceedings{graus2018let,
    title={โ€œLet Me Tell You Who You areโ€ โ€” 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}
    }
FATREC Position paper: Explaining recommender systems by opening black box user profiles

Pre-print of position paper “SMART Journalism: Personalizing, Summarizing, and Recommending Financial Economic News”

๐Ÿ“… June 1, 2018 โ€ข ๐Ÿ• 13:44 โ€ข ๐Ÿท Papers โ€ข ๐Ÿ‘ 143

Our position paperย “SMART Journalism: Personalizing, Summarizing, and Recommending Financial Economic News” was accepted atย Algorithmic Personalization and News (APEN18) workshop, held at ICWSM ’18!

In this paper, we detail some of the ideas and opportunities of personalization in the domain of financial economic news. Read the pre-print below!

  • [PDF] 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}
    }