Investigation on Personalized Search Engine Based on Lucence
Zhenlong Du · Jisuanji gongcheng · 2010
Conventional search engine is unsuitable for search requests from people with different cultures,different goals or periods.A method on personalized search engine is proposed in the paper,which analyzes the user search pattern from Cookie,constructs the user interests vector from search pattern,drives the engine by search pattern,hence the presented approach can index the results with high correlation to user interests.It implements the personalized search engine based on Lucence,and experiments show that user interests driven personalized search engines can significantly index the user interested results.