The TFC Model: Tensor Factorization and Tag Clustering for Item Recommendation in Social Tagging Systems

@article{Rafailidis2013TheTM,
  title={The TFC Model: Tensor Factorization and Tag Clustering for Item Recommendation in Social Tagging Systems},
  author={Dimitrios Rafailidis and Petros Daras},
  journal={IEEE Transactions on Systems, Man, and Cybernetics: Systems},
  year={2013},
  volume={43},
  pages={673-688}
}
In this paper, a novel Tensor Factorization and tag Clustering (TFC) model is presented for item recommendation in social tagging systems. The TFC model consists of three distinctive steps, in each of which important innovative elements are proposed. More specifically, through its first step, the content information is exploited to propagate tags between conceptual similar items based on a relevance feedback mechanism, in order to solve sparsity and “cold start” problems. Through its second… CONTINUE READING
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