< Back 15 Aug 2023 Get inspired at the first Dutch-Belgian Workshop on Recommender Systems Get ready for the first Dutch-Belgian Workshop on Recommender Systems (DBWRS)! On 14 and 15 December 2023, researchers and practitioners gather in the beautiful city of Antwerp for a two-day workshop to to explore and discuss the latest advancements, challenges, and opportunities in the field of recommender systems. DBWRS is a collaborative event bridging diverse field such as computer science, data science, artificial intelligence, psychology, communication, and more! Together we spark innovative and interdisciplanary approaches that enhance user experiences, empower perzonalization and contribute to the growing field of recomemnder systems. We invite you to join us at DBWRS 2023! Share your insights, connect with other researchers and practitioners and get inspired by experts. See you in Antwerp on 14 & 15 December 2023. www.dbwrs23.be Previous Next Join us at DBWRS 2023

< Back 3 Feb 2025 Special Issue on Public Service Media in the Age of Platforms A new special issue of Convergence: The International Journal of Research into New Media Technologies , edited by Hanne Bruun, Catherine Johnson, Tim Raats , and Vilde Schanke Sundet, seeks to explore the challenges traditional PSM organisations are facing in audience retention, content production, and platform dependency. While much research has focused on the political and economic dimensions of platformisation, there remains a significant gap in comparative studies of the organisational practices and cultural outputs of PSM organisations worldwide. This special issue aims to address this gap by adopting a comparative lens. The editors invite contributions that examine PSM through comparative methodologies, including cross-national studies, comparisons across policy, organisational practices, and cultural production, and mixed-method approaches. Submissions that go beyond Western-centric perspectives are especially encouraged. Suggested Topics Include: Comparative analysis of changing organisational cultures in PSM PSM commissioning, publishing, and distribution practices in different contexts Cross-platform and cross-national comparisons of PSM programming and content Mixed-method approaches to understanding PSM policy, production, and texts Theoretical and methodological innovations in comparative PSM research Key Dates: Abstract submission deadline: 4 April 2025 (500-750 words) Notification of acceptance: 5 May 2025 Full article submission deadline: 22 September 2025 Researchers interested in contributing should submit their abstracts to PSMspecialissue@leeds.ac.uk . This is a unique opportunity to contribute to an urgent and timely discussion on the evolving role of PSM in the platform era. Don't miss this opportunity to share your research! ⏩️ https://psm-ap.com/comparative-approaches-to-public-service-media-in-the-age-of-platforms/ Previous Next Call for Papers Special Issue

< Back 16 Jun 2023 Our key takeaways from the Recommender Systems Summer School in Copenhagen From 12 to 16 June, several researchers from the Media Economics & Policy Unit took part in the Recommender Systems Summer School in Copenhagen. During this Summer School, academics and industry leaders lectured on the practice, research, and state of the art in recommender systems. The lectures covered a broad range of topics from an algorithmic as well as a methodological perspective, including hands-on sessions. This week brought many interesting insights for our strategic research program on recommender systems and this short report highlights some of the key takeaways. Not an algorithm, but a system Recommender systems encompass more than just the algorithm itself. They require the thoughtful implementation of (a combination of several) algorithms that align with specific domain objectives, account for optimal user experience in different contexts, and seek to create mutual value for various stakeholders It is crucial to recognize that there is no one-size-fits-all approach to recommender systems. The strategy employed must be tailored to the specific domain in which the system operates, considering the unique objectives, economic factors, values and challenges inherent to that domain. For instance, in the realm of news, evaluating the system's quality necessitates considerations such as diversity and serendipity, speed and coverage. The recommender system design must consider the overall user experience. This involves understanding the various features and styles influencing users’ interaction with the platform, as well as analyzing the user journey and recognizing the impact of contextual dependencies on their preferences and needs. In both academic literature and practical applications, the primary goal of recommendation systems is to create value. This entails a reciprocal relationship between user values and business values. By addressing user needs and providing quality personalized recommendations that go beyond mere accuracy the system increases short-term engagement. Furthermore, these systems aim to cultivate long-term loyalty and build strong relationships with the target audience. In summary, well-designed recommendation systems enhance user engagement by offering personalized recommendations, optimizing the user experience, reducing information overload, fostering serendipitous discovery, continuously learning and improving, integrating social features, and thereby generate added value for business through increased user satisfaction, retention, and potential revenue growth. End of the artificial clean cut between content? Media mergers are changing the industry. One of the many examples is how RTL XL will become a part of Videoland. The question rises how the video-on demand platforms can blend different content types such as movies, series, TV programs, short clips and livestreams in an appealing way. An answer to that question could be answered by formulating the optimal user experience through recommender systems. Currently, the company is analyzing user behaviour in order to develop models that can be used in online user experiments. A next step will be to start A-B testing to create the optimal recommendation model. The goal of VOD platforms is to have loyal visitors, but it is a metric that moves very slowly. Currently, the recommendation system of the RTL is built up on three different types of recommendations: content-based, popular within the genre and collaborative filtering. Interesting fact: Personalized swimming lanes compared to editorials swimming lanes generate 30 min more viewing time per active user per month. The main goal of “this recommender optimizing project” is to work towards continuous loops. Sequential recommender systems are different in that sense that they convert user’s behavior trajectory into recommended items or services. It takes into account the current and recent preferences of a user for a more accurate recommendations. Implementing this new form of recommender system will be one of the key factors to generate a user interface with “blended content” that answers the customer’s needs. A critical stance in the evaluation of recommenders Being grounded in dominantly quantitative forms of assessment, recommender system evaluation needs to pay sufficient attention to real-world significance of numerical results and to whether outcomes actually make sense in applied cases. For instance, is an overall increase in prediction accuracy of a recommendation an accomplishment when large parts of the user base still receive bad recommendations and their preferences remain ill-defined? A call for qualitative sense-making of quantitative evaluation outcomes was certainly made at the Summer School. Also, research papers that seek to evaluate recommender systems often focus more on (incremental) increases in performance percentages than on a solid basis for their actual evaluation. In terms of relevance for the academic field, consequently, little contributions are made. Papers that are characterised by vagueness and technical complexity thus prevent real progress and cannot form the basis for further research. The lack of valuable longitudinal research in the domain of recommender systems can also be related to this. Lastly, by acknowledging that recommender systems impact not only the intended end-user and that their complex nature implies influences also on those not directly involved, we argue that multiple-stakeholder considerations should be the norm. We realize that the inherent complexity of recommender systems makes this a difficult endeavour. But in our attempts to evade the McNamara fallacy and to research in the most holistic way possible, the aim should always be to keep a multi-stakeholder involvement top-of-mind. Not solely in phases of design or evaluation, but as a constant reflective thought from the outset and throughout. Previous Next Wrap-up of the RecSys Summer School

< Back 21 Mar 2024 What are the conditions under which the use of algorithms can contribute to, or threaten, epistemic welfare? “Epistemic Welfare“ stands as a cornerstone concept for understanding how individuals and groups interact with knowledge in today’s digital society. How do we define it? What is the conceptual and methodological framework for the concept? ALGEPI is organising its first annual workshop on the 12th of April 2024 from 10:00h to 13:00h CET to discuss what are the conditions under which the use of algorithms can contribute to, or threaten, epistemic welfare and how can we translate this into actionable parameters or metrics. Join us in the discussion! 🕙 Time: 10:00h to 13:00h CET. 🗓️ Date: 12th of April 2024 📍 Venue: Collegium Veteranorum (109-20) – Sint-Michielsstraat 2-4 , 3000 Leuven ( 02.10 – MGR. O. ROMEROZAAL ). Are you planning to attend? Places are limited and will be allocated on a first come first served basis so please let us know by sending us an email ! Registrations will close on the 5th April 2024. In the meantime, if you would like to learn more, have a look at our concept note dissecting the concept of epistemic welfare ! ➡︎ Read the full programme here . Previous Next Join ALGEPI's workshop on Epistemic Welfare!

< Back 1 Oct 2024 Ontdek alle trends en inzichten in ons webinar! Benieuwd naar hoe Vlamingen hun favoriete content streamen? Sluit op 31 oktober aan bij het 1e proeftuin webinar! We introduceren de eerste inzichten uit ons project 'Streaming Affordances voor kleine mediamarkten', ondersteund door VLAIO en de Vlaamse Minister van Media. Tijdens het webinar krijg je een diepgaand overzicht van: De voorkeuren en motivaties van Vlaamse streamers Hoe technologie, context en content hun kijkgedrag beïnvloeden De resultaten van interviews, dagboekonderzoeken en een grootschalige survey Mis deze kans niet om waardevolle inzichten op te doen over de snel veranderende wereld van streaming. Schrijf je vandaag nog in en ontdek hoe de Vlaming met media omgaat! Details: 📆 Datum: 31 oktober 2024 🕚 Tijd: 11u-12u 💻 Online Meld je aan voor deze webinar via onderstaande link: Registreren Previous Next Webinar: Streaming in Vlaanderen

< Back Annelien Smets Research Professor Annelien.Smets@vub.be Annelien is a senior researcher at SMIT in the Media Economics and Policy unit. Her research centers around personalization and recommender systems, and their value in media markets. Annelien holds a PhD in Media and Communication Studies (VUB) on the topic of serendipity in recommender systems and smart cities. She holds a master’s degree in Information Management (2016) and Artificial Intelligence (2017) from KU Leuven. Currently, Annelien is Research Professor at Vrije Universiteit Brussel, where she teaches courses on media economics, digital economics, digital business models, and digital innovation management. She is also co-chair of the Serendipity Academic Researchers Network, part of the Serendipity Society. Visit my research profile

About SRP Media SRP Media represents the third Strategic Research Programme on media economics at imec-SMIT, Vrije Universiteit Brussel . Its focus lies on understanding algorithm-driven media industries and how they reshape value in small markets. SRP Media c lusters four PhD trajectories and affiliated research projects that deal with Streaming, Recommenders and Platformization in European Media Industries. By doing so, SRP Media aims to foster collaborations and knowledge exchanges across several national and international research projects, and to function as one centralised hub towards external stakeholders. Research projects Streaming, Recommenders and Platformization in European Media Industries The research is conducted within the broader field of media and communication studies, more particularly in the research fields of media economics, political economy, innovation studies, and media policy. The importance of the research is confirmed by existing academic research, current media company practices, and ongoing policy developments in the field. Recent academic research has already been exploring the topic of algorithms in media industries. However, this body of work remains limited, mainly due to the ongoing changes in algorithm use, as well as the limited data publicly available on how algorithms and content recommendations are made in practice. In order to contribute to scientific evidence on the topic, as well as to industry- and policy-related debates and developments, the SRP follows three main research industries, namely news media, public service media, and global and domestic streaming platforms. Each industry will be analysed from four perspectives: media companies, media content, media audiences, and media policy. It also aims to analyse the interplay between the three, to identify their effects on audience consumption, and the ways in which algorithms are used and regulated. The research combines qualitative and quantitative methodology and specifically focuses on small media markets. It also applies case studies, both individually and in comparative analyses, either between different media service providers, or between different EU Member States. The programme will provide media stakeholders with the necessary knowledge on the usage and effects of algorithms on media production, distribution, and consumption. The findings will also help policymakers to formulate legislation that will accurately measure and efficiently regulate the implementation and use of algorithms and recommender systems. Principal Investigators Pieter Ballon Supervisor Tim Raats Supervisor / Track Lead Annelien Smets Track Lead Wendy Van den Broeck Track Lead Meet our team You might also be interested in ... ... fellow knowledge hubs at imec-SMIT, Vrije Universiteit Brussel related to media and technology. Nieuwsgebruik.be Mediapunt Mediawijs Knowledge Center Data & Society

< Back Public Service Media in the Age of Platforms PSM-AP Public service media (PSM) organizations have to compete with global streaming services (e.g. Netflix and YouTube), for audiences, revenue and talent. They have had to develop new on-demand services and online content that can only be delivered through the online systems owned by global platforms such as Google, Apple and Amazon. The PSM-AP project asks how PSM organisations, and the regulators and policymakers that legislate for and enforce their remits, are adapting to this new platform age, and how their responses might be altering the social and cultural values of PSM and its ability to operate in the public interest. It focuses on television, which remains at the heart of PSM. It asks how the new environment within which PSM organisations are operating might affect the values that underpin the production and distribution of TV programmes by PSM organizations, and the policy debates and regulatory structures that shape the remits and structures within which PSM organizations operate. The project will compare data gathered within and across six countries and 12 PSM organizations: Belgium (RTBF, VRT), Canada (CBC), Denmark (DR, TV 2), Italy (RAI), Poland (TVP), UK (BBC, Channel 4, S4C, ITV, Channel 5). Researchers on this project Catalina Iordache Guest Professor Tim Raats Associate Professor Consortium partners Aarhus University University of Leeds University of Warsaw Aarhus University 1/5 Tags Platforms, Media Policy Previous Next

< Back Promoting Fairness of the Music Ecosystem in a Platform-Dominated and Post-Pandemic Europe Fair MusE The overarching goal of Fair MusE is to promote fairness for music creators and stakeholders from an interdisciplinary perspective, thus leading to a more transparent, competitive and sustainable music ecosystem in Europe. Fair MusE focuses specifically on the domination of online platforms and their algorithms and will investigate: the legal responses that have been proposed in the EU the changes these platforms have brought to the music industry and music professionals the impact of such algorithms on music consumption. Fair MusE will provide an interdisciplinary analysis of fairness in the music industry involving music creators and stakeholders in the research; promote and enhance transparency concerning music industry practices and standardisation in data collection in the European music ecosystem; and assess the risks created by the reinforced dominance of the largest online platforms prompted by COVID 19 as well as making policymakers, stakeholders and the general public aware of such risks. To do so, Fair MusE will provide an innovative, strong and future-proof set of co-created responses and solutions: the ‘Music Copyright Infrastructure’, a data-sharing model agreement enhancing transparency; a ‘Music Data Dashboard’ of statistical indicators on the economic and societal value of the European music sector; the ‘Fairness Score’, a tool to assess music services and social media in terms of fairness’ multiple facets; and a ‘White Paper’ embodying policy recommendations to enhance competitiveness, sustainability, transparency and fairness of the EU music ecosystem. Our consortium is a carefully designed interdisciplinary group of academic and industry partners with strong expertise in the fields of law, economics, political science and computer science, supported by an Advisory Board composed of a highly qualified and broadly representative group of industry experts. Researchers on this project Heritiana Ranaivoson Research Professor Consortium partners Universidade Católice Portuguesa Católica Research Center Verifi Media Limited Universidade Católice Portuguesa 1/12 Tags Artificial Intelligence, Copyright, Media Policy, Music Industry, Platforms Previous Next

< Back Noëmie Forest Researcher noemie.janine.forest@vub.be Eager to investigate the role of platforms and streamers in constantly evolving media ecosystems, Noëmie joined SMIT as a researcher in the Media Economics and Policy unit in 2023. She will research personalization and recommender systems, and their value in media markets. Noëmie studied Communication Sciences at the Vrije Universiteit Brussel, between 2018 and 2022, with a specialisation in media, strategic communication, and marketing. Her specialisation gave her the chance to immerse herself in this subject through her thesis, “Does one size fit all? – How do five Belgian food brands position themselves on the international market?”. Noëmie dived into the world of different brands, and earned herself a great distinction in 2022. Before starting at SMIT, she worked at Think BBDO as strategic executive, to assist organizations in their branding and communication. Visit my research profile

< Back Valdy Wiratama Researcher valdy.wiratama@vub.be Growing up during the Web 2.0 era, the Internet left a favorable impression on my engagement with content. From dissecting events through discourses on Twitter to discovering new music on MySpace, the Internet enabled me to access a wider range of information and adjust my preferences at a reduced rate. While I can easily comprehend these effects as a media consumer, I can only imagine the ramifications on actors, musicians, and even print journalists. Lower barriers to entry amplify their competition, while the resulting oversupply threatens the exposure of smaller creators. With a current comprehension that requires more observations, my professional work is dedicated to understanding the supply side of the media industry and its relationship with the Internet. Particularly, I am invested in recorded music and its ever-evolving response towards platformization, online intermediaries, and the long tail hypothesis. As for the foundation that guides my outset in rationalizing phenomena, the baseline principle that I commonly work with is economics. I earned a Bachelor’s degree in economics from the University of Indonesia in 2018 and a Master of Arts degree (M.A.) in cultural economics and entrepreneurship from Erasmus University Rotterdam in 2022. To obtain the latter, I completed a thesis with the title ‘Backstage at the Pandemic: How the COVID-19 Pandemic Affected Music Production, Distribution, and Promotion among Unsigned Musicians in the United States.’ After defending the thesis, I joined an independent record label in The Netherlands before transitioning to a role that centers around fairness in the music industry (the FairMusE project) at imec-SMIT, VUB in 2023. Visit my research profile

< Back Ashley Amerson Product Manager This is placeholder text. To change this content, double-click on the element and click Change Content. Want to view and manage all your collections? Click on the Content Manager button in the Add panel on the left. Here, you can make changes to your content, add new fields, create dynamic pages and more. Your collection is already set up for you with fields and content. Add your own content or import it from a CSV file. Add fields for any type of content you want to display, such as rich text, images, and videos. Be sure to click Sync after making changes in a collection, so visitors can see your newest content on your live site. info@mysite.com 123-456-7890