2011 MultipleDomainUserPersonalizati

• (Low et al., 2011) ⇒ Yucheng Low, Deepak Agarwal, and Alexander J. Smola. (2011). “Multiple Domain User Personalization.” In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2011) Journal. ISBN:978-1-4503-0813-7 doi:10.1145/2020408.2020434

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%222011%22+Multiple+Domain+User+Personalization
• http://dl.acm.org/citation.cfm?id=2020408.2020434&preflayout=flat#citedby

Quotes

Author Keywords

• Algorithms; domain integration; experimentation; latent dirichlet allocation; learning; parallel statistical inference; user profiling

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.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2011 MultipleDomainUserPersonalizati	Deepak Agarwal Alexander J. Smola Yucheng Low			Multiple Domain User Personalization				10.1145/2020408.2020434		2011