Title :
Study on the personalized retrieval model of BP neural network
Author :
Shuo Wang ; Kaiying Xu ; Jialin Li
Author_Institution :
Sch. of Manage., Jilin Univ., Changchun, China
Abstract :
In this paper, a new method of personalized retrieval based on algorithm of BP(Back Propagation) Neural Networks is establish to meet the growing demand for search. The method which can make search engines more intelligent and more personalized tries to provide the best search results.
Keywords :
backpropagation; information retrieval; neural nets; search engines; BP neural network; backpropagation; personalized retrieval model; search engine; Accuracy; Arrays; Biological neural networks; Databases; Educational institutions; Information services; Training; BP Neural Networks; Personalized Retrieval; User Profiles;
Conference_Titel :
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location :
Jilin
Print_ISBN :
978-1-61284-719-1
DOI :
10.1109/MEC.2011.6025634
