In this paper, we present a kernel-based learning to rank framework for inferring the social strength of Flickr users, which involves two learning stages.

In this paper, we present a kernel-based learning to rank framework for inferring the social strength of Flickr users, which in- volves two learning stages. The ...

A kernel-based learning to rank framework for inferring the social strength of Flickr users, which involves two learning stages and is able to conduct ...

Modeling continuous social strength rather than conventional binary social ties in the social network can lead to a more precise and informative description ...

In this paper, we present a kernel-based learning to rank framework for inferring the social strength of Flickr users, which involves two learning stages. The ...

Modeling continuous social strength rather than conventional binary social ties in the social network can lead to a more precise and informative description of ...

Modeling social strength in social media community via kernel-based learning. J Zhuang, T Mei, SCH Hoi, XS Hua, S Li. Proceedings of the 19th ACM international ...

Modeling social strength in social media community via kernel-based learning. J Zhuang, T Mei, SCH Hoi, XS Hua, S Li.

In this paper, we present a kernel-based learning to rank framework for inferring the social strength of Flickr users, which involves two learning stages. The ...

In this paper we propose a KPMCF model to learn social relationship strength based on users' latent features inferred from both profile and interaction ...