KDD 2012 - Revision history

Neal: Added papers

2012-09-25T16:28:49Z

Added papers

Zeno Gantner at 16:12, 18 November 2011

2011-11-18T16:12:43Z

Zeno Gantner at 13:14, 6 October 2011

2011-10-06T13:14:41Z

Zeno Gantner at 13:09, 6 October 2011

2011-10-06T13:09:32Z

Zeno Gantner: Created page with "The '''18th ACM SIGKDD Conference on Knowledge Discover and Data Mining''' ('''KDD 2012''') will be held from August 12 to August 16 in Beijing, China. == External links == * ht..."

2011-10-06T13:09:20Z

Created page with "The '''18th ACM SIGKDD Conference on Knowledge Discover and Data Mining''' ('''KDD 2012''') will be held from August 12 to August 16 in Beijing, China. == External links == * ht..."

New page

The '''18th ACM SIGKDD Conference on Knowledge Discover and Data Mining''' ('''KDD 2012''') will be held from August 12 to August 16 in Beijing, China.

== External links ==
* http://www.kdd.org/kdd2012/

[[Category: Conference]]

← Older revision		Revision as of 16:28, 25 September 2012
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	[[Category: Conference]]		[[Category: Conference]]
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		+	== Papers ==
		+
		+	A list of papers that mention Recommender Systems / Collaborative Filtering / Personalization in their title:
		+
		+	* Circle-based Recommendation in Online Social Networks. Xiwang Yang*, ECE department, Polytechnic In; Harald Steck, Bell Labs, Alcatel-Lucent Murray Hill, NJ; yong Liu, ECE department, Polytechnic Institute of New York University
		+
		+	* Cross-domain Collaboration Recommendation. Jie Tang*, Tsinghua University; Sen Wu, Tsinghua University; Jimeng Sun, IBM; Hang Su, Beihang University
		+
		+	* Incorporating Heterogenous Information for Personalized Tag Recommendation in Social Tagging Systems. Wei Feng*, Tsinghua University; Jianyong Wang, Tsinghua University
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		+	* Learning Binary Codes for Collaborative Filtering. Ke Zhou*, Georgia Tech; Hongyuan Zha, Georgia Tech
		+
		+	* Learning Personal+Social Latent Factor Model for Social Recommendation. Yelong Sheng*, Kent State University; Ruoming Jin, Kent State University
		+
		+	* RecMax: Exploiting Recommender Systems for Fun and Profit. Laks Lakshmanan, The University of British Columbia; Amit Goyal*, University of British Columbia
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		+	* Transparent User Models for Personalization. Khalid El-Arini*, Carnegie Mellon University; Ulrich Paquet, Microsoft Research; Ralf Herbrich, Facebook, Inc.; Jurgen Van Gael, Rangespan Ltd.; Blaise Aguera y Arcas, Microsoft Corp.
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		+	* Finding Trending Local Topics in Search Queries for Personalization of a Recommendation System. Ziad Al Bawab; George Mills; Jean-Francois Crespo
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		+	* GetJar Mobile Application Recommendations with Very Sparse Datasets. Kent Shi ; Kamal Ali
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		+	* [Tutorial] Factorization Models for Recommender Systems and Other Applications. Lars Schmidt-Thieme, Steffen Rendle. Slides: http://www.ismll.uni-hildesheim.de/aktuelles/kdd_en.html

← Older revision		Revision as of 16:12, 18 November 2011
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	[[Category: Conference]]		[[Category: Conference]]
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← Older revision		Revision as of 13:09, 6 October 2011
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−	The '''18th ACM SIGKDD Conference on Knowledge ~~Discover~~ and Data Mining''' ('''KDD 2012''') will be held from August 12 to August 16 in Beijing, China.	+	The '''18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining''' ('''KDD 2012''') will be held from August 12 to August 16 in Beijing, China.

	== External links ==		== External links ==

@@ Line 1: / Line 1: @@
 The '''18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining''' ('''KDD 2012''') will be held from August 12 to August 16 in Beijing, China.
 == External links ==
 * http://www.kdd.org/kdd2012/
 [[Category: Conference]]