摘要
用户兴趣模型的表示是信息检索的核心技术之一。利用潜在语义索引的方法构建了一种用户兴趣模型,通过计算文本与模型的匹配程度,将满足约定条件的文本推荐给用户,并利用相关反馈信息更新用户的兴趣模型。最后通过实验验证了该方法的有效性,实验表明该模型可以很好地提高用户信息检索的效率。
How to represent the user interest-model is one of the key technologies of information retrieval. In this paper, latent semantic indexing approach is applied in building the user interest-model. First, the document is raatehed with the interest-model. And then it will be delivered to user according to his constraining conditions. Step by step, the user interest-model will be modified according to the feedback information. At last, the effectiveness of the method is verified through the experiment. It shows that this model can improve the efficiency of information retrieval.
出处
《信息技术》
2008年第7期20-24,共5页
Information Technology
基金
河南科技大学人才科学研究基金资助项目(13520026)
关键词
信息检索
用户兴趣模型
潜在语义索引
information retrieval
user interest-model
latent semantic indexing
