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Multiple domain user personalization (2011)

By: Yucheng Low, Deepak Agarwal, and Alex J. Smola

Abstract: Content personalization is a key tool in creating attractive websites. Synergies can be obtained by integrating personalization between several Internet properties. In this paper we propose a hierarchical Bayesian model to address these issues. Our model allows the integration of multiple properties without changing the overall structure, which makes it easily extensible across large Internet portals. It relies at its lowest level on Latent Dirichlet Allocation, while making use of latent side features for cross-property integration. We demonstrate the efficiency of our approach by analyzing data from several properties of a major Internet portal.



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Yucheng Low, Deepak Agarwal, and Alex J. Smola (2011). "Multiple domain user personalization." KDD '11: Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 123-131). pdf   talk      
BibTeX citation

@inproceedings{low-agarwal-smola:kdd2011,
author = {Yucheng Low and Deepak Agarwal and Alex J. Smola},
title = {Multiple domain user personalization},
booktitle = {KDD '11: Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining},
year = {2011},
pages = {123--131},
location = {San Diego, California, USA},
doi = {http://doi.acm.org/10.1145/2020408.2020434},
publisher = {ACM},
address = {New York, NY, USA},
wwwfilebase={kdd2011-low-agarwal-smola},
wwwtopic={Graphical Models}
}



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