“Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation” accepted at UMAP2020!

πŸ“… March 27, 2020 β€’ πŸ• 15:43 β€’ 🏷 Papers and Research β€’ πŸ‘ 1

The paper we wrote with former FD team mates Feng Lu and Anca Dumitrache has been accepted for publication as a long paper at the 28th Conference on User Modeling, Adaptation and Personalization (UMAP 2020)!
(I fondly remember my last time at UMAP, in 2016 😏)

I am particularly happy with this work because:

1️⃣ In our paper we show how you can align algorithm design across stakeholders (in this case: data scientists and journalists), by effectively modeling an editorial value (“dynamicness”) in the news recommender of Het Financieele Dagblad without losing accuracy.

2️⃣ We present (more) empirical proof that #recsys (can) offer(s) users *more* diverse, serendipitous, and dynamic lists of articles, compared to editorially curated lists, and hence (can) help in *avoiding*, not creating filter bubbles!

3️⃣ It is the perfect wrap-up of our Google DNI-funded “SMART Journalism” project at FD Mediagroep (we wrote most of the paper in our spare time after the project ended).

I’ll share a pre-print here when it’s done!

Improving automated segmentation of radio shows with audio embeddings published @ IEEE ICASSP2020

πŸ“… February 12, 2020 β€’ πŸ• 11:54 β€’ 🏷 Papers β€’ πŸ‘ 46

Oberon Berlage’s MSc. thesis: “Improving automated segmentation of radio shows with audio embeddings” which he wrote under my supervision during his internship at FD Mediagroep was awarded a 9/10, under condition that the work was publishable.

Turns out it was, as it was recently accepted at IEEE ICASSP2020 (the 45th International Conference on Acoustics, Speech, and Signal Processing) without any additional work/experiments (just a bit of reduction). But you already knew this… Oberon will be presenting this work in Barcelona, thanks to the generous support of UvA’s Information Studies program.

We now published a preprint, read it below:

  • [PDF] O. Berlage, K. Lux, and D. Graus, “Improving automated segmentation of radio shows with audio embeddings,” in To appear in proc. icassp202, 2020.
    [Bibtex]
    @inproceedings{berlage2020improving,
    title={Improving automated segmentation of radio shows with audio embeddings},
    author={Berlage, Oberon and Lux, Klaus-Michael and Graus, David},
    booktitle={To appear in Proc. ICASSP202},
    year={2020}
    }

His work revolved around improving BNR SMART Radio‘s text-based segmentation by incorporating audio signals in the form of audio embeddings. This turns out to improve over our text-based baseline by a whopping +32.3% F1-measure!

Even better: an audio-only approach, trained on a smallish openly available dataset, outperforms our text-only baseline by 9.4%. This means the segmentation method can be employed without need for audio transcription, which could be a money-saver.

Panel @ CPDP2020: "Algorithms and AI-driven technologies in the information society"

πŸ“… February 4, 2020 β€’ πŸ• 10:03 β€’ 🏷 Blog β€’ πŸ‘ 3

I was invited by UvA’s Information, Communication and the Data Society (ICDS) to participate in a panel at the Conference on Privacy and Data Protection, which was focused on AI.

The recording of the panel is now online, watch me telling a room full of (highly) privacy-aware (and cookie-averse) people that Cambridge Analytica nudging people to “politically activate them” with tailored information can be a “democratic good” πŸ˜….

See the recording below:

For more information, see CPDP’s page of the panel.

“Bias in Recommendations” lecture @ SIKS Course on advances in IR

πŸ“… October 8, 2019 β€’ πŸ• 20:04 β€’ 🏷 Blog β€’ πŸ‘ 86
πŸ“Έ by @arjen@idf.social

Enjoyed giving a lecture at the SIKS Course “Advances in Information Retrieval” at the Mitland Hotel in Utrecht. I also pitched DIR 2019 πŸ˜… (as evidenced by the picture above from Arjen). See my slidedeck below!

This talk is loosely based on (part of) the talk I gave at the ACM RecSys Summerschool, but I added a few slides on dealing with implicit feedback (= clicks), and popularity bias.

“RecSys in the Media Industry” Lecture at RecSys Summer School

πŸ“… September 11, 2019 β€’ πŸ• 13:39 β€’ 🏷 Blog β€’ πŸ‘ 93

With Daan Odijk I gave a lecture + hands-on workshop at the ACM Summer School on Recommender Systems in Gothenburg, Sweden on RecSys in the Media Industry: Relevance, Recency, Popularity, and Diversity.

πŸ“Έ by Alan Said

For it, we had a long (90+ min) lecture combining insights, experiences, and projects from our work at RTL and Blendle (Daan), and FD Mediagroep (me).

In addition, we did a small hands-on workshop, implementing a content-based re-ranker for WikiNews.

See our slides and notebooks here: https://github.com/graus/recsys_summer_school/

See a tweet by @alansaid, here:

Finally, see my slidedeck here:

“Improving automated segmentation of radio shows with audio embeddings”

πŸ“… July 5, 2019 β€’ πŸ• 15:41 β€’ 🏷 Blog and Research β€’ πŸ‘ 65

Update (28/1/2020): Oberon’s thesis was accepted and will be published at the IEEE 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), to be held May 4-8 in Barcelona, Spain! The submission is co-authored with Klaus Lux and myself.

Oberon Berlage recently successfully defended his MSc. thesis (title above!) for the Data Science Master at University of Amsterdam, and graduated with a whopping 9!

He’s the first academic offspring of our AI Team @ FD Mediagroep, and worked on BNR SMART Radio‘s segmenter. Oberon improved our text-based segmenter by adding audio embeddings, improving the F1 score with +32%!

His thesis is now online, check it out at: http://scriptiesonline.uba.uva.nl/document/673254

Dutch Interactive Awards (2x) for BNR SMART Radio!

πŸ“… June 28, 2019 β€’ πŸ• 10:17 β€’ 🏷 Blog β€’ πŸ‘ 51

Yesterday BNR SMART Radio won two Dutch Interactive Awards (DIA 2019) Awards! We were nominated together with Elastique, the folks who designed the UX/interface of our BNR SMART Radio app which you can download here (or in your app stores, both Android/iOS)!

πŸ₯‡ Content

We won Gold in the category “Content”. Why, you may ask?

β€œFinally a reason to listen to Radio in general, and BNR in particular. Because advertising is absent and topics are tailored to the personal taste of the listener, who can search in a targeted way and express appreciation for a broadcast through a thumbsup, they reach new target audiences online.”

jury report (source: emerce)

πŸ₯ˆ Disruptor

Next to this, we also won the Silver DIA2019 Award in the category “Disruptor”!

“In a world where radio has never deviated from the linear model, the jury finds this very disruptive. SMART Radio provides a personal radio experience and possibly a new revenue model in the long term. The jury members find the potential of the underlying strategy even more impressive. What if BNR joins forces with FD Mediagroep and combines the work of both parties in this? The jury sees all kinds of opportunities to fit in new forms of advertising (or to omit them). The collaboration between the agency and the media company has resulted in something that has never been seen before.”

jury report (source: emerce)

Current standing

For who has trouble keeping track πŸ˜…, these are the awards we won with SMART Radio:

πŸ† Marconi Online Award
πŸ† AMMA Award (with SMART Journalism)
πŸ† DIA2019 Award, category: Content
πŸ₯ˆ DIA2019 Award, category: Disruptor

Featured on the European Science-Media Hub

πŸ“… June 5, 2019 β€’ πŸ• 08:29 β€’ 🏷 Media β€’ πŸ‘ 6

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!

πŸ“… May 17, 2019 β€’ πŸ• 13:50 β€’ 🏷 Blog β€’ πŸ‘ 40

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 πŸ€–. 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 πŸ€“