Add to ORKGThe problem of filtering relevant information from the huge amount of available data is tackled by using models of the user's interest in order to discriminate interesting information from un-interesting data. As a consequence, Machine Learning for User Modeling (ML4UM) has become a key technique in recent adaptive systems. This article presents the novel approach of conceptual user models which are easy to understand and which allow for the system to explain its actions to the user. We show that ILP can be applied for the task of inducing user models from even sparse feedback by mutual sample enlargement. Results are evaluated independently of domain knowledge within a clear machine learning problem definition. The whole concept presented ...
In human-in-the-loop machine learning, the user provides information beyond that in the training dat...
In human-in-the-loop machine learning, the user provides information beyond that in the training dat...
As more information becomes available electronically, tools for finding information of interest to u...
The problem of filtering relevant information from the huge amount of available data is tackled by u...
The problem of filtering relevant information from the huge amount of available data is tackled by u...
The problem of filtering relevant information from the huge amount of available data is tackled by u...
The problem of filtering relevant information from the huge amount of available data is tackled by u...
User Modeling and Machine Learning for User Modeling have both become important research topics and ...
User Modeling and Machine Learning for User Modeling have both become important research topics and ...
User Modeling and Machine Learning for User Modeling have both become important research topics and ...
In course of the OYSTER project our goal is to induce conceptual user models that allow for a transp...
Machine learning seems to offer the solution to many problems in user modelling. However, one tends ...
Personalising user models has gained considerable attention in recent literature. In an information-...
Machine learning seems to offer the solution to many problems in user modelling. However, one tends ...
At first blush, user modeling appears to be a prime candidate for straightforward application of sta...
In human-in-the-loop machine learning, the user provides information beyond that in the training dat...
In human-in-the-loop machine learning, the user provides information beyond that in the training dat...
As more information becomes available electronically, tools for finding information of interest to u...
The problem of filtering relevant information from the huge amount of available data is tackled by u...
The problem of filtering relevant information from the huge amount of available data is tackled by u...
The problem of filtering relevant information from the huge amount of available data is tackled by u...
The problem of filtering relevant information from the huge amount of available data is tackled by u...
User Modeling and Machine Learning for User Modeling have both become important research topics and ...
User Modeling and Machine Learning for User Modeling have both become important research topics and ...
User Modeling and Machine Learning for User Modeling have both become important research topics and ...
In course of the OYSTER project our goal is to induce conceptual user models that allow for a transp...
Machine learning seems to offer the solution to many problems in user modelling. However, one tends ...
Personalising user models has gained considerable attention in recent literature. In an information-...
Machine learning seems to offer the solution to many problems in user modelling. However, one tends ...
At first blush, user modeling appears to be a prime candidate for straightforward application of sta...
In human-in-the-loop machine learning, the user provides information beyond that in the training dat...
In human-in-the-loop machine learning, the user provides information beyond that in the training dat...
As more information becomes available electronically, tools for finding information of interest to u...