id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_tmfrcdzitzaspbglkw5e3ppzcy	Ying-Lien Lee	Recommender system architecture for adaptive green marketing	2011	3	.pdf	application/pdf	2003	148	52	shopping environments do not consider product greenness in their recommender systems or other shopping tools. This paper aims to propose the use of recommender systems to aid the green shopping process and to promote green consumerism basing upon the benefits of recommender systems and a compliance consumerism; the second part describes the proposed recommender system architecture using green The proposed architecture provides a capable platform for personalized green marketing by offering customers shopping advices tailored to their preferences and for the This research proposes using recommender systems, in addition to these methods, as a means to educate and inform on-line customers. Based upon what they have purchased before, a recommender system can help the customers by filtering out items that are unlikely information filtering and candidate expansion, recommender systems can be transformed into a green product advocate informing be first recommended to a user who is reluctant to buy green products.	./cache/work_tmfrcdzitzaspbglkw5e3ppzcy.pdf	./txt/work_tmfrcdzitzaspbglkw5e3ppzcy.txt