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Recommender Systems: An Introduction
(Cambridge University Press, 2011)
In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to date. Recommender systems automate some of these strategies with ...
Intelligent support for interactive configuration of mass-customized products
Mass customization of configurable products made knowledge-based (and web-based) product configuration systems an important tool to support the sales engineer or end user when Configuring systems according to the customer’s ...
Contextual diagrams as structuring mechanisms for designing configuration knowledge bases in UML
Lower prices, shorter product cycles, and the customer individual production of highly variant products are the main reasons for the success of product configuration systems in various application domains (telecommunication ...
Developing Constraint-based Recommenders
Traditional recommendation approaches (content-based filtering  and collaborative filtering) are well-suited for the recommendation of quality&taste products such as books, movies, or news. However, especially ...