View source for KDD 2012

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.
[[Recommender systems]] are explicitly mentioned in the [http://www.kdd.org/kdd2012/cfp.shtml call for papers].

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

[[Category: Conference]]
[[Category: Event]]

== 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

* 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

* 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.

* Finding Trending Local Topics in Search Queries for Personalization of a Recommendation System. Ziad Al Bawab; George Mills; Jean-Francois Crespo

* GetJar Mobile Application Recommendations with Very Sparse Datasets. Kent Shi ; Kamal Ali

* [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