Constructing personalized catalogs for speech-enabled applications

Organization of product information is important to help consumers find out what they want when shopping on the Internet. This issue is even more crucial to the success of voice-enabled m-commerce applications, where users are often in a time-critical situation and follow voice prompts to search for items of interest. The present study proposes a method combining techniques of decision tree and user profiling to generate personalized catalogs for voice-enabled m-commerce applications. Such catalogs can be used to construct interactive dialogs to guide consumers while finding needed products.