Domain-Oriented Recommender Applications: A Framework for Intimate Recommending
نویسنده
چکیده
The algorithms and technology components used by e-commerce recommender applications are maturing. A central question for online shops in the future will be how to integrate recommender applications into their shop, so as to not only sell goods to new customers, but also to maintain and expand their complex relationship with existing customers. Today most recommender applications are independent add-ons to an online shop. As such, they can only provide isolated recommendations that either only relate to a single interest of a visitor, or have visitors explicitly state their current preferences – which are forgotten the next time the customer comes. In this paper we propose domainoriented recommender applications as a conceptual framework that can guide designers of online shops in creating recommender systems that have a more intimate knowledge of customers and their evolving areas of interest.
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