作者: S. Duan
DOI:
关键词:
摘要: This thesis describes our approach to microblog search personalization. The uti-lizes implicit information about the user’s interests personalize original results. We first present how do we model users’ preferences on Twitter. Subsequently, investi-gate different ways represent results so that they can be compared with preferences. In addition, provide a set of personalized strategies and evaluate them in two experiments. Furthermore, compare performance further analyze their impacts retrieval effectiveness. Our research suggests enhance