KDD 2011 - Revision history

Zeno Gantner at 16:12, 18 November 2011

2011-11-18T16:12:36Z

Zeno Gantner at 13:09, 6 October 2011

2011-10-06T13:09:58Z

Zeno Gantner at 13:08, 6 October 2011

2011-10-06T13:08:44Z

Zeno Gantner: Category: Conference

2011-08-10T15:37:24Z

Category: Conference

Zeno Gantner: Created page with "The '''17th ACM SIGKDD Conference on Knowledge Discover and Data Mining''' ('''KDD 2011''') will be held from August 21 to August 24 in San Diego, California. There are sessions..."

2011-08-10T14:33:17Z

Created page with "The '''17th ACM SIGKDD Conference on Knowledge Discover and Data Mining''' ('''KDD 2011''') will be held from August 21 to August 24 in San Diego, California. There are sessions..."

New page

The '''17th ACM SIGKDD Conference on Knowledge Discover and Data Mining''' ('''KDD 2011''') will be held from August 21 to August 24 in San Diego, California.

There are sessions on ''[[web user modeling]]'', ''[[matrix factorization]]'', ''[[user modeling]]'', ''[[text mining]]'', and the industry/government track which all contain material related to [[personalization]] and [[recommender systems]].

The topic of the [[KDD Cup 2011]] was [[music recommendation]] from [[taxonomy|taxonomic]] and [[user-item matrix|interaction data]].

== Literature ==
Presentations + posters:
* Amr Ahmed, Yucheng Low, Mohamed Aly, Vanja Josifovski, [[Alex Smola]]: ''Scalable Inference of Dynamic User Interests for Behavioural Targeting''
* Yucheng Low, [[Alex Smola]], [[Deepak Agarwal]]: ''Multiple Domain User Personalization''
* Xuanhui Wang, [[Deepak Agarwal]], Bee-Chung Chen, Pradheep Elango: ''Click Shaping to Optimize Multiple Objectives''
* Aditya Menon, Krishna-Prasad Chitrapura, Sachin Garg, [[Deepak Agarwal]], Nagaraj Kota: ''Response prediction using collaborative filtering with hierarchies and side-information''
* Chong Wang, [[David Blei]]: ''Collaborative Topic Models for Recommending Scientific Articles''
* [[Deepak Agarwal]], Bee-Chung Chen, Bo Long: ''Locality-Sensitive Factor Models for Multi-Context Recommendation''
* Hongning Wang, Yue Lu, ChengXiang Zhai: ''Latent Aspect Rating Analysis without Aspect Keyword Supervision''
* Jianhui Chen, Jiayu Zhou, Jieping Ye: ''Integrating Low-Rank and Group-Sparse Structures for Robust Multi-Task Learning''
* David Gleich, Lek-Heng Lim: ''Rank Aggregation via Nuclear Norm Minimization''
* Rainer Gemulla, Peter Haas, Erik Nijkamp, Yannis Sismanis: ''Large-Scale Matrix Factorization with Distributed Stochastic Gradient Descent''
* Bee-Chung Chen, Belle Tseng, Jie Yang, Jian Guo: ''User Reputation in a Comment Rating Environment''
Industry/government track:
* Bruno Pradel, Nicolas Usunier, Francçoise Soulie Fogelman, Savaneary Sean, Julien Delporte, Celine Rouveirol, Sebastien Guérif, Frédéric Dufau-Joel: ''A Case Study in a Recommender System Based on Purchase Data''
Posters:
* Gideon Dror, [[Yehuda Koren]], Yoelle Maarek, Idan Szpektor: ''I want to answer, who has a question? Yahoo! Answers Recommender System''

== External links ==
* [http://www.kdd.org/kdd2011/index.shtml conference website]
** [http://www.kdd.org/kdd2011/program.shtml program]
** [http://www.kdd.org/kdd2011/posters.shtml posters]
** [http://www.kdd.org/kdd2011/panels.shtml panel: Lessons learned from contests in data mining]

← 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 '''17th ACM SIGKDD Conference on Knowledge ~~Discover~~ and Data Mining''' ('''KDD 2011''') was be held from August 21 to August 24 in San Diego, California.	+	The '''17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining''' ('''KDD 2011''') was be held from August 21 to August 24 in San Diego, California, USA.

	Of particular interest for the recommender systems/personalization community, there were sessions on ''[[web user modeling]]'', ''[[matrix factorization]]'', ''[[user modeling]]'', ''[[text mining]]'', and the industry/government track which all contain material related to [[personalization]] and [[recommender systems]].		Of particular interest for the recommender systems/personalization community, there were sessions on ''[[web user modeling]]'', ''[[matrix factorization]]'', ''[[user modeling]]'', ''[[text mining]]'', and the industry/government track which all contain material related to [[personalization]] and [[recommender systems]].

← Older revision		Revision as of 15:37, 10 August 2011
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	** [http://www.kdd.org/kdd2011/posters.shtml posters]		** [http://www.kdd.org/kdd2011/posters.shtml posters]
	** [http://www.kdd.org/kdd2011/panels.shtml panel: Lessons learned from contests in data mining]		** [http://www.kdd.org/kdd2011/panels.shtml panel: Lessons learned from contests in data mining]
		+
		+	[[Category: Conference]]

@@ Line 1: / Line 1: @@
-The '''17th ACM SIGKDD Conference on Knowledge Discover and Data Mining''' ('''KDD 2011''') will be held from August 21 to August 24 in San Diego, California.
+The '''17th ACM SIGKDD Conference on Knowledge Discover and Data Mining''' ('''KDD 2011''') was be held from August 21 to August 24 in San Diego, California.
-There are sessions on ''[[web user modeling]]'', ''[[matrix factorization]]'', ''[[user modeling]]'', ''[[text mining]]'', and the industry/government track which all contain material related to [[personalization]] and [[recommender systems]].
+Of particular interest for the recommender systems/personalization community, there were sessions on ''[[web user modeling]]'', ''[[matrix factorization]]'', ''[[user modeling]]'', ''[[text mining]]'', and the industry/government track which all contain material related to [[personalization]] and [[recommender systems]].
 The topic of the [[KDD Cup 2011]] was [[music recommendation]] from [[taxonomy|taxonomic]] and [[user-item matrix|interaction data]].