The knowledge engineering bottleneck is still a major challenge in configurator projects. In this paper we show how recommender systems can support knowledge base development and maintenance processes. We discuss a couple of scenarios for the application of recommender systems in knowledge engineering and report the results of empirical studies which show the importance of user-centered configuration knowledge organization.
Abstract. Knowledge-based recommender technologies provide a couple of mechanisms for improving the ...
We investigate a new class of software for knowledge discovery in databases (KDD), called recommende...
Expert recommender systems (ERS) are considered a promising technology in knowledge management. Howe...
State of the art recommender systems support users in the selection of items from a predefined assor...
This paper proposes a model of the inner-enterprise knowledge recommender system. Among an organizat...
Recommender systems combine historical data on user preferences, information filtering and the appli...
Requirements engineering in large-scaled industrial, government, and international projects can be a...
Recommender applications support decision-making processes by helping online cus-tomers to identify ...
Abstract. Constraint-based recommenders support customers in identifying relevant items from complex...
Purpose: This paper aims to explore the use of the knowledge management (KM) perspective for configu...
In scientific and engineering scenarios we can notice the predominance of explicit knowledge being m...
This thesis consists of three papers on recommender systems. The first paper addresses the problem o...
Abstract. The complexity of product assortments offered by online selling platforms makes the select...
On the Internet, where the number of choices is overwhelming, it is necessary to filter, prioritize,...
Recommender systems are information filtering systems used in many online applications like music an...
Abstract. Knowledge-based recommender technologies provide a couple of mechanisms for improving the ...
We investigate a new class of software for knowledge discovery in databases (KDD), called recommende...
Expert recommender systems (ERS) are considered a promising technology in knowledge management. Howe...
State of the art recommender systems support users in the selection of items from a predefined assor...
This paper proposes a model of the inner-enterprise knowledge recommender system. Among an organizat...
Recommender systems combine historical data on user preferences, information filtering and the appli...
Requirements engineering in large-scaled industrial, government, and international projects can be a...
Recommender applications support decision-making processes by helping online cus-tomers to identify ...
Abstract. Constraint-based recommenders support customers in identifying relevant items from complex...
Purpose: This paper aims to explore the use of the knowledge management (KM) perspective for configu...
In scientific and engineering scenarios we can notice the predominance of explicit knowledge being m...
This thesis consists of three papers on recommender systems. The first paper addresses the problem o...
Abstract. The complexity of product assortments offered by online selling platforms makes the select...
On the Internet, where the number of choices is overwhelming, it is necessary to filter, prioritize,...
Recommender systems are information filtering systems used in many online applications like music an...
Abstract. Knowledge-based recommender technologies provide a couple of mechanisms for improving the ...
We investigate a new class of software for knowledge discovery in databases (KDD), called recommende...
Expert recommender systems (ERS) are considered a promising technology in knowledge management. Howe...