We propose three generative processes to model latent user tastes with respect to resources they annotate with metadata. We show that latent user interests ...
We propose three generative processes to model latent user tastes with respect to resources they annotate with metadata. We show that latent user interests ...
We propose three generative processes to model latent user tastes with respect to resources they annotate with metadata. We show that latent user interests ...
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Bibliographic details on Social Link Prediction in Online Social Tagging Systems.
In this paper, we propose three measures for the link prediction task which take into account all different communities that users belong to. We perform ...
1. Federated search techniques: an overview of the trends and state of the art;Knowledge and Information Systems;2023-07-10 ; 2.
We validate the proposed anchor link prediction model on two scenarios. The first one is to predict anchor links across two partially observed networks, which ...
Friend link prediction is an important research problem in recommender systems. Existing network embedding and knowledge embedding methods mainly consider ...
The proposed approach employs the Katz measure, a path-ensemble based proximity measure, to predict links in a weighted tripartite graph which represents ...
Predicting the formation of links in online social networks has been a hot ... propose to identify common users across social tagging sys- tems. Liu et ...
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