Recommender Systems for Scientific and Technical Information Providers
Providers of scientific and technical information are a promising application area of recommender systems due to high search costs for their goods and the general problem of assessing the quality of information products. Nevertheless, the usage of recommendation services in this market is still in its infancy. This book presents economical concepts,statistical methods and algorithms, technical architectures, as well as experiences from case studies on how recommender systems can be integrated.
|Year of publication:||
|Authors:||Neumann, Andreas W.|
|Type of publication:||Book / Working Paper|
|Type of publication (narrower categories):||Thesis|
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