Tag as a useful metadata reflects the collaborative and conceptual features of documents in social collaborative annotation systems. In this paper, we propose a collaborative approach for expanding tag neighbors and investigate the spectral clustering algorithm to filter out noisy tag neighbors in order to get appropriate recommendation for users. The preliminary experiments have been conducted on MovieLens dataset to compare our proposed approach with the traditional collaborative filtering recommendation approach and naive tag neighbors expansion approach in terms of precision, and the result demonstrates that our approach could considerably improve the performance of recommendations.Tag as a useful metadata reflects the collaborative and...
We describe and evaluate a discriminative clustering approach forcontent-based tag recommendation in...
We describe and evaluate a discriminative clustering approach forcontent-based tag recommendation in...
In social annotation systems, users label digital resources by using tags which are freely chosen te...
Tag as a useful metadata reflects the collaborative and conceptual features of documents in social c...
Abstract: With the rapid development in Web 2.0 application services, tags are used as useful metada...
The common usage of tags in these systems is to add the tagging attribute as an additional feature t...
Tag recommendation is a specific recommendation task for recommending metadata (tag) for a web resou...
Collaborative tagging is the process by which users classify shared content using keywords. Although...
Collaborative tagging is the process by which users classify shared content using keywords. Although...
Folksonomies, otherwise known as Collaborative Tagging Systems, enable Internet users to share, anno...
Folksonomies, otherwise known as Collaborative Tagging Systems, enable Internet users to share, anno...
In social annotation systems, users label digital resources by using tags which are freely chosen te...
In this paper, we propose a spectral clustering approach for users and documents group modeling in o...
Abstract. We describe and evaluate a discriminative clustering approach for content-based tag recomm...
In this paper, we propose a spectral clustering approach for users and documents group modeling in o...
We describe and evaluate a discriminative clustering approach forcontent-based tag recommendation in...
We describe and evaluate a discriminative clustering approach forcontent-based tag recommendation in...
In social annotation systems, users label digital resources by using tags which are freely chosen te...
Tag as a useful metadata reflects the collaborative and conceptual features of documents in social c...
Abstract: With the rapid development in Web 2.0 application services, tags are used as useful metada...
The common usage of tags in these systems is to add the tagging attribute as an additional feature t...
Tag recommendation is a specific recommendation task for recommending metadata (tag) for a web resou...
Collaborative tagging is the process by which users classify shared content using keywords. Although...
Collaborative tagging is the process by which users classify shared content using keywords. Although...
Folksonomies, otherwise known as Collaborative Tagging Systems, enable Internet users to share, anno...
Folksonomies, otherwise known as Collaborative Tagging Systems, enable Internet users to share, anno...
In social annotation systems, users label digital resources by using tags which are freely chosen te...
In this paper, we propose a spectral clustering approach for users and documents group modeling in o...
Abstract. We describe and evaluate a discriminative clustering approach for content-based tag recomm...
In this paper, we propose a spectral clustering approach for users and documents group modeling in o...
We describe and evaluate a discriminative clustering approach forcontent-based tag recommendation in...
We describe and evaluate a discriminative clustering approach forcontent-based tag recommendation in...
In social annotation systems, users label digital resources by using tags which are freely chosen te...