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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 10 days ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
MOBISYS
2011
ACM
14 years 2 months ago
AppJoy: personalized mobile application discovery
The explosive growth of the mobile application market has made it a significant challenge for the users to find interesting applications in crowded App Stores. To alleviate this...
Bo Yan, Guanling Chen
CSREAEEE
2006
175views Business» more  CSREAEEE 2006»
15 years 1 months ago
A Time-Based Recommender System Using Implicit Feedback
- Recommender systems provide personalized recommendations on products or services to customers. Collaborative filtering is a widely used method of providing recommendations based ...
Tong-Queue Lee, Young Park
FLAIRS
2006
15 years 1 months ago
CATS: A Synchronous Approach to Collaborative Group Recommendation
Group recommender systems introduce a whole set of new challenges for recommender systems research. The notion of generating a set of recommendations that will satisfy a group of ...
Kevin McCarthy, Maria Salamó, Lorcan Coyle,...
ISR
2011
14 years 6 months ago
REQUEST: A Query Language for Customizing Recommendations
Initially popularized by Amazon.com, recommendation technologies have become widespread over the past several years. However, the types of recommendations available to the users i...
Gediminas Adomavicius, Alexander Tuzhilin, Rong Zh...