Recommendation Technologies for Configurable Products
نویسندگان
چکیده
State of the art recommender systems support users in the selection of items from a predefined assortment (e.g., movies, books, and songs). In contrast to an explicit definition of each individual item, configurable products such as computers, financial service portfolios, and cars are represented in the form of a configuration knowledge base that describes the properties of allowed instances. Although the knowledge representation used is different compared to non-configurable products, the decision support requirements remain the same: users have to be supported in finding a solution that fits their wishes and needs. In this paper we show how recommendation technologies can be applied for supporting the configuration of products. In addition to existing approaches we discuss relevant issues for future research.
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عنوان ژورنال:
- AI Magazine
دوره 32 شماره
صفحات -
تاریخ انتشار 2011