Title :
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
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;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4673-2963-7
DOI :
10.1109/ICCSNT.2012.6526108