2014 PersonalizedSearchResultDiversi

• (Liang et al., 2014) ⇒ Shangsong Liang, Zhaochun Ren, and Maarten de Rijke. (2014). “Personalized Search Result Diversification via Structured Learning.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623650

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%222014%22+Personalized+Search+Result+Diversification+via+Structured+Learning
• http://dl.acm.org/citation.cfm?id=2623330.2623650&preflayout=flat#citedby

Quotes

Author Keywords

• Ad hoc retrieval; diversity; information search and retrieval; personalization; structured svms

Abstract

This paper is concerned with the problem of personalized diversification of search results, with the goal of enhancing the performance of both plain diversification and plain personalization algorithms. In previous work, the problem has mainly been tackled by means of unsupervised learning. To further enhance the performance, we propose a supervised learning strategy. Specifically, we set up a structured learning framework for conducting supervised personalized diversification, in which we add features extracted directly from the tokens of documents and those utilized by unsupervised personalized diversification algorithms, and, importantly, those generated from our proposed user-interest latent Dirichlet topic model. Based on our proposed topic model whether a document can cater to a user's interest can be estimated in our learning strategy. We also define two constraints in our structured learning framework to ensure that search results are both diversified and consistent with a user's interest. We conduct experiments on an open personalized diversification dataset and find that our supervised learning strategy outperforms unsupervised personalized diversification methods as well as other plain personalization and plain diversification methods.

References

;

	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2014 PersonalizedSearchResultDiversi	Maarten de Rijke Shangsong Liang Zhaochun Ren			Personalized Search Result Diversification via Structured Learning				10.1145/2623330.2623650		2014