Recommendation system technologies of intelligent large-scale shopping mall

Author

Chen Jie ; Wang Dong ; Li Canquan

Author_Institution

Sch. of Software, Shanghai Jiaotong Univ., Shanghai, China

fYear

2012

fDate

29-31 Dec. 2012

Firstpage

1058

Lastpage

1062

Abstract

Under the wave of Internet of Things, Technologies like RFID is being applied to wider fields[3]. In this paper, we have the deployed RFID devices and related infrastructure in a modern large-scale shopping mall. To recognize consumers personal preference and tastes, we put forward a new method to improve the current collaborative filtering methods in utilizing and analyzing the implicit feedback of current registered mall members. Then also introduced how to cooperate with RFID data and integrate with rule engine to construct recommendation system.

Keywords

Internet; collaborative filtering; consumer behaviour; electronic commerce; knowledge based systems; radiofrequency identification; recommender systems; retail data processing; Internet of Things; RFID data; RFID device; collaborative filtering; consumer personal preference; consumer personal taste; intelligent large-scale shopping mall; modern large-scale shopping mall; recommendation system; registered mall member feedback; rule engine; Intelligent Mall; RFID; Recommendation System;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-4673-2963-7

Type

conf

DOI

10.1109/ICCSNT.2012.6526108

Filename

6526108