基于本体的个性化协同推荐

Research on Personalized Collaborative Recommendation Based on Ontology

推荐系统已成为减轻信息过载时用户负担的关键工具,由于要处理不同形式的用户交互,因此协同推荐要与用户的具体情况和不断变化的兴趣相关。基于此,提出建立上下文相关的协同推荐,以领域本体的形式包含语义知识,把用户配置定义为一个本体。文章描述用户配置本体如何学习、增量更新和如何用于协同推荐。

Recommender systems have emerged as critical tools that help alleviate the burden of information ovedoad for users. Since these systems have to deal with a variety of modes of user interactions, the collaborative recommendation must be sensitive to a user＇s specific context and changing interests over time. Our approach to building e coUaborative recommendation is a hybrid one that incorporates semantic knowledge in the form of domain ontology. User profiles are defined relative to the ontology, giving rise to an ontological user profile. In this paper, we describe how ontological user profiles are learned, incrementally updated, and used for collaborative recommendation.