Title :
Notice of Retraction
Intelligent product recommendation mechanism based on mobile agents
Author :
Chin-bang Yao ; Hau-Dong Tsui ; Chong-Yen Lee
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Supermarket has always considered as a good place when people want to purchase all kinds of daily goods. But it is too big to fast lookup the stuffs which happen to be the wanted. So, we provide the product recommendation mechanism with intelligent agents for those persons who can utilize it to swiftly and efficiently find the merchandizes what they want. We combine the RFID technology and mobile agents to construct an intelligent mobile-purchasing system of supermarket. First, we combine our intelligent mobile-purchasing system with RFID collecting data platform as our exhibition management system. By the purchasing and customer´s moving records of customers we can analysis individual preferences and current purchasing state of each customer who came into our supermarket. Then using the RFID to track the customer´s shopping path in supermarket and the goods which are referenced by the customer, we can offer a suitable navigation suggestion to each customer to help them find effectively all similar relevant goods or information which they want. Finally, through different functions of AP servers which record the latest dynamic customer´s querying media of goods and purchasing behaviors, our mobile agents can periodically collect these market real-time data to provide the customization recommending server with the intelligent guidance and the suitable products information to upgrade the purchasing funs and efficiency in the supermarket.
Keywords :
consumer behaviour; customer satisfaction; mobile agents; product customisation; production engineering computing; purchasing; query processing; radiofrequency identification; AP servers; RFID technology; customer querying media; customer shopping path; customization; daily goods; exhibition management system; intelligent mobile-purchasing system; intelligent product recommendation mechanism; market real-time data; merchandizes; mobile agents; navigation suggestion; products information; purchasing behaviors; purchasing state; supermarket; Global Positioning System; Information analysis; Information management; Intelligent agent; Intelligent networks; Intelligent systems; Mobile agents; Multimedia systems; Radiofrequency identification; Wireless networks;
Conference_Titel :
New Trends in Information Science and Service Science (NISS), 2010 4th International Conference on
Conference_Location :
Gyeongju
Print_ISBN :
978-1-4244-6982-6