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Towards Multi-Method Support for Product Search and Recommending
2022
User Modeling, Adaptation, and Personalization
Today, online shops offer a variety of components to support users in finding suitable items, ranging from filters and recommendations to conversational advisors and natural language chatbots. All these methods differ in terms of cognitive load and interaction effort, and, in particular, in their suitability for the specific user. However, it is often difficult for users to determine which method to use to reach their goal. Moreover, as the settings are not propagated between the methods, there
doi:10.1145/3511047.3536408
dblp:conf/um/KleemannL022
fatcat:ircmaudtaneo3a2p5sutitn54i