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Recsperts - Recommender Systems Experts
Marcel Kurovski
30 episodes
1 month ago
Recommender Systems are the most challenging, powerful and ubiquitous area of machine learning and artificial intelligence. This podcast hosts the experts in recommender systems research and application. From understanding what users really want to driving large-scale content discovery - from delivering personalized online experiences to catering to multi-stakeholder goals. Guests from industry and academia share how they tackle these and many more challenges. With Recsperts coming from universities all around the globe or from various industries like streaming, ecommerce, news, or social media, this podcast provides depth and insights. We go far beyond your 101 on RecSys and the shallowness of another matrix factorization based rating prediction blogpost! The motto is: be relevant or become irrelevant! Expect a brand-new interview each month and follow Recsperts on your favorite podcast player.
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Technology
Science,
Mathematics
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All content for Recsperts - Recommender Systems Experts is the property of Marcel Kurovski and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Recommender Systems are the most challenging, powerful and ubiquitous area of machine learning and artificial intelligence. This podcast hosts the experts in recommender systems research and application. From understanding what users really want to driving large-scale content discovery - from delivering personalized online experiences to catering to multi-stakeholder goals. Guests from industry and academia share how they tackle these and many more challenges. With Recsperts coming from universities all around the globe or from various industries like streaming, ecommerce, news, or social media, this podcast provides depth and insights. We go far beyond your 101 on RecSys and the shallowness of another matrix factorization based rating prediction blogpost! The motto is: be relevant or become irrelevant! Expect a brand-new interview each month and follow Recsperts on your favorite podcast player.
Show more...
Technology
Science,
Mathematics
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#18: Recommender Systems for Children and non-traditional Populations
Recsperts - Recommender Systems Experts
1 hour 39 minutes
2 years ago
#18: Recommender Systems for Children and non-traditional Populations

In episode 18 of Recsperts, we hear from Professor Sole Pera from Delft University of Technology. We discuss the use of recommender systems for non-traditional populations, with children in particular. Sole shares the specifics, surprises, and subtleties of her research on recommendations for children.

In our interview, Sole and I discuss use cases and domains which need particular attention with respect to non-traditional populations. Sole outlines some of the major challenges like lacking public datasets or multifaceted criteria for the suitability of recommendations. The highly dynamic needs and abilities of children pose proper user modeling as a crucial part in the design and development of recommender systems. We also touch on how children interact differently with recommender systems and learn that trust plays a major role here.

Towards the end of the episode, we revisit the different goals and stakeholders involved in recommendations for children, especially the role of parents. We close with an overview of the current research community.

Enjoy this enriching episode of RECSPERTS - Recommender Systems Experts.
Don't forget to follow the podcast and please leave a review

  • (00:00) - Introduction
  • (04:56) - About Sole Pera
  • (06:37) - Non-traditional Populations
  • (09:13) - Dedicated User Modeling
  • (25:01) - Main Application Domains
  • (40:16) - Lack of Data about non-traditional Populations
  • (47:53) - Data for Learning User Profiles
  • (57:09) - Interaction between Children and Recommendations
  • (01:00:26) - Goals and Stakeholders
  • (01:11:35) - Role of Parents and Trust
  • (01:17:59) - Evaluation
  • (01:26:59) - Research Community
  • (01:32:37) - Closing Remarks

Links from the Episode:
  • Sole Pera on LinkedIn
  • Sole's Website
  • Children and Recommenders
  • KidRec 2022
  • People and Information Retrieval Team (PIReT)

Papers:

  • Beyhan et al. (2023): Covering Covers: Characterization Of Visual Elements Regarding Sleeves
  • Murgia et al. (2019): The Seven Layers of Complexity of Recommender Systems for Children in Educational Contexts
  • Pera et al. (2019): With a Little Help from My Friends: User of Recommendations at School
  • Charisi et al. (2022): Artificial Intelligence and the Rights of the Child: Towards an Integrated Agenda for Research and Policy
  • Gómez et al. (2021): Evaluating recommender systems with and for children: towards a multi-perspective framework
  • Ng et al. (2018): Recommending social-interactive games for adults with autism spectrum disorders (ASD)

General Links:

  • Follow me on LinkedIn
  • Follow me on Twitter
  • Send me your comments, questions and suggestions to marcel@recsperts.com
  • Recsperts Website
Recsperts - Recommender Systems Experts
Recommender Systems are the most challenging, powerful and ubiquitous area of machine learning and artificial intelligence. This podcast hosts the experts in recommender systems research and application. From understanding what users really want to driving large-scale content discovery - from delivering personalized online experiences to catering to multi-stakeholder goals. Guests from industry and academia share how they tackle these and many more challenges. With Recsperts coming from universities all around the globe or from various industries like streaming, ecommerce, news, or social media, this podcast provides depth and insights. We go far beyond your 101 on RecSys and the shallowness of another matrix factorization based rating prediction blogpost! The motto is: be relevant or become irrelevant! Expect a brand-new interview each month and follow Recsperts on your favorite podcast player.