Reading News with a Purpose: Explaining User Profiles for Self-Actualization

Really excited to have co-authored “Reading News with a Purpose,” which was accepted at the International Workshop on Transparent Personalization Methods based on Heterogeneous Personal Data (ExHUM), at UMAP 2019!

With the largest list of authors (ranging from philosophers via polcomm researchers to computer scientists), from a wide array of institutions; Emily Sullivan, Dimitrios Bountouridis, Jaron Harambam, Shabnam Najafian, Felicia Loecherbach, Mykola Makhortykh, Domokos Kelen, Darcia Wilkinson, and Nava Tintarev!

This is work that came out of our ICT with Industry project “Opening the black box of user profiles in content-based recommender systems” where we (FD Mediagroep) collaborated with Nava Tintarev and our excellent team of academics in a week-long academic hackathon!

Read the pre-print, below:

  • [PDF] E. Sullivan, D. Bountouridis, J. Harambam, S. Najafian, F. Löcherbach, M. Makhortykh, D. Kelen, D. Wilkinson, D. Graus, and N. Tintarev, “Reading news with a purpose: explaining user profiles for self-actualization,” in Proceedings of 27th conference on user modeling, adaptation and personalization adjunct, 2019.
    [Bibtex]
    @inproceedings{sullivan2019reading,
    title={Reading News with a Purpose: Explaining User Profiles for Self-Actualization},
    author={Sullivan, Emily and Bountouridis, Dimitrios and Harambam, Jaron and Najafian, Shabnam and Löcherbach, Felicia and Makhortykh, Mykola and Kelen, Domokos and Wilkinson, Daricia and Graus, David and Tintarev, Nava},
    booktitle={Proceedings of 27th Conference on User Modeling, Adaptation and Personalization Adjunct},
    year={2019},
    organization={ACM}
    }

Read the original idea that sparked the project, presented at the 2nd FATREC Workshop at RecSys 2018, here:

  • [PDF] 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}
    }

Een lijstje zoekresultaten is geen etalage

I wrote a response on recent coverage around the alleged ‘promotion’ of anti-vax books by bol.com, suggesting it is due to “influential, steering, algorithms.” In this piece I state it’s not an issue of algorithms, but of long-tail, obscure, content. My response was published in Het Parool, as an edited letter. Read the original, unedited piece (in Dutch) below.

Continue reading “Een lijstje zoekresultaten is geen etalage”

Featured in De Volkskrant on SMART Journalism

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}
    }

Co-organizing DIR 2019!

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:

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 ⚡.

BNR SMART Radio wins the Marconi Online Award!

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.

Image: BNR

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

  • [PDF] 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}
    }


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

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

Demo Paper: “SMART Radio: Personalized News Radio”

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!

  • [PDF] 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}
    }

Position paper ““Let Me Tell You Who You are” — Explaining Recommender Systems by Opening Black Box User Profiles”

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!

  • [PDF] 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}
    }
FATREC Position paper: Explaining recommender systems by opening black box user profiles

Interviewed in “IP – vakblad voor informatieprofessionals”

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.