基于用户动机模型的搜索引擎研究

Research on a User Motivation Model Based Search Engine

提出一种基于用户动机模型的网络搜索引擎和一种提高用户行为模型构建效率的方案.动机模型建立于用户与搜索引擎之间,用以辅助用户检索,以达到提高搜索引擎检索效率和准确率的目的.以人类行为学为理论基础,以个性化技术为手段,从而合并相似的用户行为模型以构建用户动机模型.通过实验,验证了基于用户动机模型的搜索引擎比通用搜索引擎能更好地适应用户的需求.

Proposed a user motivation model based search engine and a solution is proposed for improving the construction efficiency of the user behavior model. User motivation models are established between the users and the search engine. The user motivation models are used to assist the web search engines, so that the efficiency and accuracy rate of information retrieval can be improved. The user motivation model combines similar behavior models of the users based on the theory of anthroponomy and displays the returned results according to the clustering results and representation to achieve personalization. Experiments show that the returned results by the search engine based on the user motivation model can better meet the requirements of the users.