2014 Special Issue: Exploring personalized searches using tag-based user profiles and resource profiles in folksonomy

摘要: With the increase in resource-sharing websites such as YouTube and Flickr, many shared resources have arisen on Web. Personalized searches become more important challenging since users demand higher retrieval quality. To achieve this goal, personalized need to take users' profiles information needs into consideration. Collaborative tagging (also known folksonomy) systems allow annotate with their own tags, which provides a simple but powerful way for organizing, retrieving sharing different types of social resources. In article, we examine limitations previous tag-based searches. handle these limitations, propose new method model user resource collaborative systems. We use normalized term frequency indicate preference degree tag. A novel search using is proposed facilitate desired personalization our framework, instead keyword matching or similarity measurement used works, relevance between query (termed relevance) treated fuzzy satisfaction problem user's requirements. implement prototype system called Folksonomy-based Multimedia Retrieval System (FMRS). Experiments FMRS data set MovieLens show that outperforms baseline methods.