Constructing personalized catalogs for speech-enabled applications

Author

Fan, Yandong ; Kendall, Elizabeth

Author_Institution

Sch. of Network Comput., Monash Univ., Clayton, Vic., Australia

fYear

2004

fDate

14-17 Dec. 2004

Firstpage

417

Lastpage

422

Abstract

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.

Keywords

Internet; cataloguing; data mining; decision trees; electronic commerce; feature extraction; interactive systems; learning (artificial intelligence); mobile computing; speech-based user interfaces; Internet shopping; decision tree; interactive dialogs; personalized catalogs; product information; speech-enabled applications; user profiling; voice prompts; voice-enabled m-commerce applications; Australia; Business; Catalogs; Computer networks; Data mining; Decision trees; Information technology; Search engines; Speech; Taxonomy;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004. Proceedings of the 2004

Print_ISBN

0-7803-8894-1

Type

conf

DOI

10.1109/ISSNIP.2004.1417497

Filename

1417497