id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_wmgsfmulknbrham4pkvdecjybi	Maciej Dabrowski	Intelligent product search with soft-boundary preference relaxation	2012	25	.pdf	application/pdf	8983	741	55	and/or collaborative recommender systems (Adomavicius & Tuzhilin, 2005), utilitybased tools, and preference relaxation methods (Mirzadeh & Ricci, 2007). Preference Relaxation (see Section 3.1) may increase consumers' decision-making performance through positive effects on decision quality. examines its impact on consumers' decision-making performance in the context of preference-based search in online shops. 2000; Parra & Ruiz, 2009), and product awareness is a widely used indicator of recommender method performance that facilitates higher quality decisions (Chen & Pu, 2007; consumers' awareness of existing products, in contrast to the non-relaxed approach, indicated by result set diversity: Similarly, results indicate that the use of the Soft Boundary Preference Relaxation mechanism improves the share of non-dominated alternatives in a result set in contrast to both Further, we demonstrated the positive impact of the Soft Boundary Preference Relaxation approach proposed here on product awareness evidenced by the diversity of items in result sets which, according to Vahidov and Ji (2005), leads to higher user satisfaction.	./cache/work_wmgsfmulknbrham4pkvdecjybi.pdf	./txt/work_wmgsfmulknbrham4pkvdecjybi.txt