id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_46wtlsghvvcntlousxuj3tstfm	Soe-Tsyr Yuan	A recommendation mechanism for contextualized mobile advertising	2003	16	.pdf	application/pdf	8597	717	61	concepts: (1) minimize users' inputs (a typical interaction metaphor for mobile devices) for implicit browsing behaviors to be best utilized; (2) implicit browsing behaviors are then analyzed with a view to understanding the users' interests in the values of features of advertisements; (3) having understood the users' interests, Mobile Ads relevant to a designated location are subsequently scored and ranked; (4) Top-N scored Keywords: Mobile commerce; Mobile advertising; Neural Network; Sensitivity; Analysis; Information filtering; Recommender systems are representing Mobile Ads, learning users' profiles, and Neural Network sensitivity analysis) learns users' profiles representing advertised activity Mobile Ads and users' remains for the recommendation mechanism is the description of the task of learning users' profiles from implicit recommendations from the learned user profiles and Mobile measurements (used in evaluating MALCR's recommendation mechanism), Averaged ScoreU Growth, Instance	./cache/work_46wtlsghvvcntlousxuj3tstfm.pdf	./txt/work_46wtlsghvvcntlousxuj3tstfm.txt