id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_lykvmffhsvao5iyxubj4bhlgne	Lixin Han	HQE: A hybrid method for query expansion	2009	7	.pdf	application/pdf	7024	727	61	The HQE method employs a combination of ontology-based collaborative filtering and neural networks to improve query expansion. provide less query information at the beginning than traditional collaborative filtering methods. The HQE method employs collaborative filtering combined with the Semantic Web and neural networks to improve feedback technique that re-ranks the set of initially retrieved documents based on the controlled vocabulary terms assigned to the the HQE method presents some algorithms to improve query method uses ontology information to find the similar users, acquires the relevant web documents from these similar users' queries, and the relevant web documents are used by the RBF In contrast to the above work, the HQE method employs ontology-based collaborative filtering combined with neural networks Branch and bound algorithms are methods for global optimization in non-convex problems (Lawler & Wood, 1966 & Moore, using the trained neural networks, rank a set of web documents acquired from these existing similar users' queries,	./cache/work_lykvmffhsvao5iyxubj4bhlgne.pdf	./txt/work_lykvmffhsvao5iyxubj4bhlgne.txt