id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_km4lywou7zavbdgujqkajdp5ju	Shuiguang Deng	Social network-based service recommendation with trust enhancement	2014	8	.pdf	application/pdf	5416	527	61	ranking and collaborative filtering algorithms in service recommendation. In this study, we propose a social network-based service-recommendation method, which considers users' history service invocation behaviors, users preferences as well as trust relationships among users implied in social series of experiments on 86,719 users, 604,190 user trust-relationships and 963,591 reviews on 292,713 services/produces show that this recommendation method get better recall rate, precision, f-measure and rank score. service recommendation, which is based on users service recommendation method based on users recommending Top-K services to the active user. user input factor to predict Web services QoS values [20]. : Trust-based Service Recommendation in Social Network : Trust-based Service Recommendation in Social Network : Trust-based Service Recommendation in Social Network : Trust-based Service Recommendation in Social Network : Trust-based Service Recommendation in Social Network [9] Shuiguang Deng, Longtao Huang, Guandong Xu. Social Network-Based Service Recommendation with collaborative filtering based Web service recommendation	./cache/work_km4lywou7zavbdgujqkajdp5ju.pdf	./txt/work_km4lywou7zavbdgujqkajdp5ju.txt