User-oriented product search based on consumer values and lifestyles
作者： Hesam Ziaei , Wayne Wobcke , Anna Wong
DOI: 10.1007/978-3-642-32541-0_27
关键词: Product (category theory) 、 Purchasing 、 Construct (python library) 、 Information retrieval 、 Decision support system 、 Domain (software engineering) 、 Knowledge base 、 Recommender system 、 Search engine 、 Computer science 、 Multimedia
摘要: Product search engines are essentially unchanged since the inception of online shopping, providing basic browsing by category and "advanced" keyword search. This paper presents a user-oriented product method based on consumer values lifestyles that correspond to user purchasing criteria rather than technical specifications. The technique is suited relatively infrequent purchases where users possess little domain or market knowledge existing interfaces difficult use. We show how construct base support engine without need for expert manually label items. present Lifestyle Car Finder, system in new cars. incorporates various modes navigation (search refinement, form critiquing adaptive user's query, breadcrumb trails) decision (similar car comparison, explanations specifications). report study showing that, broadly speaking, were highly satisfied with felt they confident their decisions.
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