Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Articles by Markus Zanker
Computer Science > Artificial Intelligence
In a deliberative poll, once submissions outnumber what anyone will read, some mechanism chooses which arguments each voter sees, acquiring much of the decision; practice delegates it to opaque learned rankers, so a voter cannot recompute or contest the exposure that shaped their vote.
Development of a Knowledge-Based Expert System for Diagnosing Post-Harvest Diseases of Apple
Abstract : Post-harvest diseases are one of the main causes of economical losses in the apple fruit production sector. Therefore, this paper presents an application of a knowledge-based expert system to diagnose post-harvest diseases of apple. Specifically, we detail the process of domain knowledge elicitation for constructing a Bayesian network reasoning system.
Recommender Systems: Trends and Frontiers
License Authors who publish with this journal agree to the following terms: 1. Author(s) agree to transfer their copyrights in their article/paper to the Association for the Advancement of Artificial Intelligence (AAAI), in order to deal with future requests for reprints, translations, anthologies, reproductions, excerpts, and other publications.
Recommender Systems: Past, Present, Future
Authors Dietmar Jannach Universit of Klagenfurt Pearl Pu EPFL Lausanne Francesco Ricci Free University of Bolzano Markus Zanker Free University of Bolzano Abstract The origins of modern recommender systems date back to the early 1990s when they were mainly applied experimentally to personal email and information filtering. Today, 30 years later, personalized recommendations are ubiquitous and research in this highly successful application area of AI is flourishing more than ever.
Recommender Systems: Beyond Matrix Completion
The use of recommender systems has exploded over the last decade, making personalized recommendations ubiquitous online. Most of the major companies, including Google, Facebook, Twitter, LinkedIn, Netflix, Amazon, Microsoft, Yahoo!, eBay, Pandora, Spotify, and many others use recommender systems (RS) within their services. These systems are used to recommend a whole range of items, including consumer products, movies, songs, friends, news articles, restaurants and various others.
Show More
loading
Actions
Is this you?
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Get in touch with Markus
Contact Markus, search articles and posts on X, monitor coverage, and track replies from one place.
Learn more about Muck Rack