Cold-start scenarios in recommender systems are situations in which no prior events, like ratings or clicks, are known for certain users or items. To compute predictions in such ca...
Zeno Gantner, Lucas Drumond, Christoph Freudenthal...
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Rapid advances in networking, hardware, and middleware technologies are facilitating the development and deployment of complex grid applications, such as large-scale distributed co...
: Today's online model repositories offer to download and view the textual specifications of e.g. metamodels and models in the browser. For users, in order to efficiently sear...
Manuel Wimmer, Andrea Schauerhuber, Michael Stromm...
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...