Study of Distributed Personalized Search Engine

Hong Zhang; Yan Hong Ma; Wei Jun Ma; Zhong Xian Bao

doi:10.4028/www.scientific.net/AMR.756-759.1035

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759Study of Distributed Personalized Search Engine

Study of Distributed Personalized Search Engine

Abstract:

Combining distributed computing and data mining techniques, a distributed personalized search engine is put forward to solve the the problems current search engines faced. It has described the theoretical model and algorithmic processing. Under the Hadoop, a distributed platform processing information with Java, the key parts are programmed and implemented. The experimental results show that this theoretical model can improve the accuracy and speed of the user's queries so it can improve the retrieval performance of the search engine.

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Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

1035-1039

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.1035

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Online since:

September 2013

Authors:

Hong Zhang, Yan Hong Ma, Wei Jun Ma, Zhong Xian Bao

Keywords:

Distributed Computing, Hadoop, Personalized, Search Engine, User Interests

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