id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_malg4cvzmfb23i2pyh6r3trb5u	Chuen-He Liou	Hybrid recommendations for mobile commerce based on mobile phone features	2010	16	.pdf	application/pdf	7785	939	69	Hybrid recommendations for mobile commerce based on mobile phone features propose a mobile phone feature (MPF)-based hybrid method to resolve the sparsity issue of the typical CF We use the features of mobile phones to identify users' characteristics and then preference-based method that uses association rule mining to extract recommendation rules from user groups Keywords: mobile web, one-to-one marketing, product recommendation, collaborative filtering, The MPF-based method uses the features of users' mobile phones as user profiles to preference-based method to improve recommendation quality by considering both MPF describe the proposed MPF-based, preferencebased and hybrid recommendation methods. recommend mobile phones based on the users' similar MPF or product preferences, the association rules and the most frequent items in each Mobile phone and product preference cluster identification Based on the results derived Figure 6: Effect of the hybrid method on the recommendation quality for mobile phone clusters.	./cache/work_malg4cvzmfb23i2pyh6r3trb5u.pdf	./txt/work_malg4cvzmfb23i2pyh6r3trb5u.txt