Image Tag Recommendation based on Ranked Categorical Nearest Neighbors and Weighted Tag Features

Ranked Tag Recommendation Systems Based on Logistic Regression

Can Global Visual Features Improve Tag Recommendation for Image Annotation?

Recent advances in the fields of digital photography, networking and computing, have made it easier than ever for users to store and share photographs. However without sufficient metadata, e.g., in the form of tags, photos are difficult to find and organize. In this paper, we describe a system that recommends tags for image annotation. We postulate that the use of low-level global visual featur...

Tag Recommendation Based on Bayesian Principle

Social tagging systems have become increasingly a popular way to organize online heterogeneous resources. Tag recommendation is a key feature of social tagging systems. Many works has been done to solve this hard tag recommendation problem and has got same good results these years. Taking into account the complexity of the tagging actions, there still exist many limitations. In this paper, we p...

Tag Recommendation Based on Social Comment Network

Tagging has rapidly become a popular way to annotate the content on social network sites. Tags describe the contents of the resource or provide additional contextual and semantical information to make the content more easily browsable and discoverable by others. However, as tagging is not constrained by a controlled vocabulary and a certain number of resources have no comments, tags tend to be ...

A Tag Recommendation System Based on Contents

Social bookmarking tools become more and more popular nowadays and tagging is used to organize information and allow users to recall or search the resources. Users need to type the tags whenever they post a resource, so that a good tag recommendation system can ease the process of finding some useful and relevant keywords for users. Researchers have made lots of relevant work for recommendation...