Expert recommender systems (ERS) are considered a promising technology in knowledge management. However, there are very few studies which evaluated their appropriation in practice. In this paper, we present results of a case study of expert recommender technology in a large European industrial association. Unlike existing expert recommender approaches, the system involves users in selecting textual documents for semi-automatic profile generation. Our study focuses on the appropriation of this functionality and discusses impacts from an organizational perspective
This chapter presents an analysis of recommender systems in Technology-Enhanced Learning along their...
Expertise recommender systems are a valuable tool for keeping track of who has expertise and in what...
As a major research interest, the Recommender Systems (RS) has evolved to help consumers locate prod...
Purpose – A good recommender system helps users find items of interest on the web and can provide re...
Abstract — Recommender systems are becoming increasingly popular as a means for bringing products to...
Being able to make timely contact with an expert who is willing and able to answer the problem at ha...
Recommender systems have become an important research field since the emergence of the first paper o...
Recommender systems combine historical data on user preferences, information filtering and the appli...
Recommender systems play an important role in the lives of people in today’s information-rich enviro...
The goal of a recommender system is to generate relevant recom-mendations for users. It is an inform...
This article presents an explorative study of the impact of Communities of Practice (CoPs) on the su...
International audienceKnowledge Management (KM) practice proposes a series of services designed to r...
International audienceThis article presents an explorative study of the impact of Communities of Pra...
Recommender applications support decision-making processes by helping online cus-tomers to identify ...
Abstract- Today, in almost every field, when interacting with a computer or any other automated devi...
This chapter presents an analysis of recommender systems in Technology-Enhanced Learning along their...
Expertise recommender systems are a valuable tool for keeping track of who has expertise and in what...
As a major research interest, the Recommender Systems (RS) has evolved to help consumers locate prod...
Purpose – A good recommender system helps users find items of interest on the web and can provide re...
Abstract — Recommender systems are becoming increasingly popular as a means for bringing products to...
Being able to make timely contact with an expert who is willing and able to answer the problem at ha...
Recommender systems have become an important research field since the emergence of the first paper o...
Recommender systems combine historical data on user preferences, information filtering and the appli...
Recommender systems play an important role in the lives of people in today’s information-rich enviro...
The goal of a recommender system is to generate relevant recom-mendations for users. It is an inform...
This article presents an explorative study of the impact of Communities of Practice (CoPs) on the su...
International audienceKnowledge Management (KM) practice proposes a series of services designed to r...
International audienceThis article presents an explorative study of the impact of Communities of Pra...
Recommender applications support decision-making processes by helping online cus-tomers to identify ...
Abstract- Today, in almost every field, when interacting with a computer or any other automated devi...
This chapter presents an analysis of recommender systems in Technology-Enhanced Learning along their...
Expertise recommender systems are a valuable tool for keeping track of who has expertise and in what...
As a major research interest, the Recommender Systems (RS) has evolved to help consumers locate prod...