Web service tags, terms annotated by users to describe the functionality or other aspects of Web services, are being treated as collective user knowledge for Web service mining. However, the tags associated with a Web service generally are listed in a random order or chronological order without considering the relevance information, which limits the effectiveness of tagging data. In this paper,...

The increase of personal digital cameras with video functionality and video-enabled camera phones has increased the amount of user-generated videos on the Web. People are spending more and more time viewing online videos as a major source of entertainment and “infotainment”. Social websites allow users to assign shared free-form tags to user-generated multimedia resources, thus generating annot...

This paper describes an automatic annotation, or autotagging, algorithm that attaches textual tags to 3D models based on their shape and semantic classes. The proposed method employs Manifold Ranking by Zhou et al, an algorithm that takes into account both local and global distributions of feature points, for tag relevance computation. Using Manifold Ranking, our method propagates multiple tags...

A tag-aware recommender system (TRS) presents the challenge of tag sparsity in a user profile. Previous work focuses on expanding similar tags and does not link with corresponding resources, therefore leading to static profile recommendation. In this article, we have proposed new social expansion model (STEM) generate dynamic improve recommendation performance. Instead simply including most rel...

Recently, social tag recommendation has gained more attention in web research, and many approaches were proposed, which can be classified into two types: rule-based and classification-based approaches. However, too much expert experience and manual work are needed in rule-based approaches, and its generalization is limited. Additionally, there are some essential barriers in classification-based...