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针对网络信息检索需求的日益提高,利用人工神经网络算法构建一种个性化智能检索模型,使搜索引擎能为用户提供个性化检索服务,并通过仿真实验验证该模型的可行性和有效性。实验结果表明,该模型可有效提高搜索的准确率。
In view of the increasing demand of network information retrieval, a personalized intelligent retrieval model is built by using artificial neural network algorithm so that search engine can provide personalized retrieval service for users. The feasibility and effectiveness of this model are verified through simulation experiments. Experimental results show that the model can effectively improve the accuracy of the search.