Recs 公开
[search 0]
更多
Download the App!
show episodes
 
Artwork

1
Romance Recs

Jordan, Devonnie, & Christina

Unsubscribe
Unsubscribe
每月+
 
Three book besties explore the world of romance novels and encourage you to expand your TBR. Join us as we dive into fan favorite tropes and subgenres from Romantasy to Dark Romance to Young Adult. Discover new indie authors and discuss major releases with us, spoiler free! Mature content is discussed.
  continue reading
 
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 univ ...
  continue reading
 
Artwork
 
Official Podcast of #TeamLocasaur, bringing you the best hidden gems, local spots and recommendations for iconic local businesses around nyc. Visit Locasaur.com/ask to ask for future topics, and grab our mobile app to start showing love to your favorite local spots!
  continue reading
 
Loading …
show series
 
In episode 23 of Recsperts, we welcome Yashar Deldjoo, Assistant Professor at the Polytechnic University of Bari, Italy. Yashar's research on recommender systems includes multimodal approaches, multimedia recommender systems as well as trustworthiness and adversarial robustness, where he has published a lot of work. We discuss the evolution of gene…
  continue reading
 
Join us as we dive into the latest installment of The Mortal Fates Series by J Bree, The Throne of Honor and Blood. In this episode we discuss the story, compare reactions, and talk fan theories of part (chapters 21-40). Spoilers abound so proceed with caution. Send us a text Support the show由Jordan, Devonnie, Christina
  continue reading
 
Join us as we dive into the latest installment of The Mortal Fates Series by J Bree, The Throne of Honor and Blood. In this episode we discuss the story, compare reactions, and talk fan theories of part 1 (chapters 1-20). Spoilers abound so proceed with caution. Send us a text Support the show由Jordan, Devonnie, Christina
  continue reading
 
In episode 22 of Recsperts, we welcome Prabhat Agarwal, Senior ML Engineer, and Aayush Mudgal, Staff ML Engineer, both from Pinterest, to the show. Prabhat works on recommendations and search systems at Pinterest, leading representation learning efforts. Aayush is responsible for ads ranking and privacy-aware conversion modeling. We discuss user an…
  continue reading
 
Do you love a good Cinderella story? Are you obsessed with Greek mythology? Do you doom scroll AO3 for the latest fanfic? This episode is all about retellings with romance. From Star Wars to Beauty and the Beast, Peter Pan to The Handmaid's Tale. You are bound to find an old favorite in these new romance recs. Send us a text Support the show…
  continue reading
 
Christina and Devonnie surprise Jordan by starting her favorite series, Zodiac Academy by Caroline Peckham and Susanne Valenti. Listen along as we discuss thoughts and theories through the first two books. Minor spoilers for Zodiac Academy: The Awakening, Ruthless Fae, and the first few chapters of The Awakening. Send us a text Support the show…
  continue reading
 
Dark Romance is a subgenre with darker themes and mature content. These stories often come with "morally dark" characters and plots that are riddled with trauma and violence. Popular tropes are mafia, stalking, kidnappings, and bullies. These themes are discussed throughout the episode and include numerous mentions to a plethora of trigger warnings…
  continue reading
 
In episode 21 of Recsperts, we welcome Martijn Willemsen, Associate Professor at the Jheronimus Academy of Data Science and Eindhoven University of Technology. Martijn's researches on interactive recommender systems which includes aspects of decision psychology and user-centric evaluation. We discuss how users gain control over recommendations, how…
  continue reading
 
In episode 20 of Recsperts, we welcome Bram van den Akker, Senior Machine Learning Scientist at Booking.com. Bram's work focuses on bandit algorithms and counterfactual learning. He was one of the creators of the Practical Bandits tutorial at the World Wide Web conference. We talk about the role of bandit feedback in decision making systems and in …
  continue reading
 
In episode 19 of Recsperts, we welcome Himan Abdollahpouri who is an Applied Research Scientist for Personalization & Machine Learning at Spotify. We discuss the role of popularity bias in recommender systems which was the dissertation topic of Himan. We talk about multi-objective and multi-stakeholder recommender systems as well as the challenges …
  continue reading
 
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…
  continue reading
 
In episode 17 of Recsperts, we meet Miguel Fierro who is a Principal Data Science Manager at Microsoft and holds a PhD in robotics. We talk about the Microsoft recommenders repository with over 15k stars on GitHub and discuss the impact of LLMs on RecSys. Miguel also shares his view of the T-shaped data scientist. In our interview, Miguel shares ho…
  continue reading
 
In episode 16 of Recsperts, we hear from Michael D. Ekstrand, Associate Professor at Boise State University, about fairness in recommender systems. We discuss why fairness matters and provide an overview of the multidimensional fairness-aware RecSys landscape. Furthermore, we talk about tradeoffs, methods and receive practical advice on how to get …
  continue reading
 
In episode 15 of Recsperts, we delve into podcast recommendations with senior data scientist, Mirza Klimenta. Mirza discusses his work on the ARD Audiothek, a public broadcaster of audio-on-demand content, where he is part of pub. Public Value Technologies, a subsidiary of the two regional public broadcasters BR and SWR. We explore the use and pote…
  continue reading
 
In episode number 14 of Recsperts we talk to Daniel Svonava, CEO and Co-Founder of Superlinked, delivering user modeling infrastructure. In his former role he was a senior software engineer and tech lead at YouTube working on ad performance prediction and pricing. We discuss the crucial role of user modeling for recommendations and discovery. Danie…
  continue reading
 
This episode of Recsperts features Justin Basilico who is director of research and engineering at Netflix. Justin leads the team that is in charge of creating a personalized homepage. We learn more about the evolution of the Netflix recommender system from rating prediction to using deep learning, contextual multi-armed bandits and reinforcement le…
  continue reading
 
In this episode of Recsperts we talk to Rishabh Mehrotra, the Director of Machine Learning at ShareChat, about users and creators in multi-stakeholder recommender systems. We learn more about users intents and needs, which brings us to the important matter of user satisfaction (and dissatisfaction). To draw conclusions about user satisfaction we ha…
  continue reading
 
In this episode of Recsperts we talk to Flavian Vasile about the work of his team at Criteo AI Lab on personalized advertising. We learn about the different stakeholders like advertisers, publishers, and users and the role of recommender systems in this marketplace environment. We learn more about the pros and cons of click versus conversion optimi…
  continue reading
 
In episode number ten of Recsperts I welcome David Graus who is the Data Science Chapter Lead at Randstad Groep Nederland, a global leader in providing Human Resource services. We talk about the role of recommender systems in the HR domain which includes vacancy recommendations for candidates, but also generating talent recommendations for recruite…
  continue reading
 
In episode number nine of Recsperts we talk with the creators of RecPack which is a new Python package for recommender systems. We discuss how Froomle provides modularized personalization for customers in the news and e-commerce sectors. I talk to Lien Michiels and Robin Verachtert who are both industrial PhD students at the University of Antwerp a…
  continue reading
 
In episode number eight of Recsperts we discuss music recommender systems, the meaning of artist fairness and perspectives on recommender evaluation. I talk to Christine Bauer, who is an assistant professor at the University of Utrecht and co-organizer of the PERSPECTIVES workshop. Her research deals with context-aware recommender systems as well a…
  continue reading
 
In episode number seven, we meet Jacopo Tagliabue and discuss behavioral testing for recommender systems and experiences from ecommerce. Before Jacopo became the director of artificial intelligence at Coveo, he had founded tooso, which was later acquired by Coveo. Jacopo holds a PhD in cognitive intelligence and made many contributions to conferenc…
  continue reading
 
Loading …

快速参考指南