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» Building a Lifestyle Recommender System
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IPPS
2002
IEEE
14 years 9 days ago
A Prediction-Based Real-Time Scheduling Advisor
The real-time scheduling advisor (RTSA) is an entirely userlevel system that an application running on a typical shared, unreserved distributed computing environment can turn to f...
Peter A. Dinda
RECSYS
2010
ACM
13 years 7 months ago
Incremental collaborative filtering via evolutionary co-clustering
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
Mohammad Khoshneshin, W. Nick Street
EAAI
2007
117views more  EAAI 2007»
13 years 7 months ago
Design and implementation of NN5 for Hong Kong stock price forecasting
A number of published techniques have emerged in the trading community for stock prediction tasks. Among them is neural network (NN). In this paper, the theoretical background of ...
Philip M. Tsang, Paul Kwok, Steven O. Choy, Reggie...
JMLR
2010
156views more  JMLR 2010»
13 years 2 months ago
Collaborative Filtering on a Budget
Matrix factorization is a successful technique for building collaborative filtering systems. While it works well on a large range of problems, it is also known for requiring signi...
Alexandros Karatzoglou, Alexander J. Smola, Markus...
SIGIR
2012
ACM
11 years 9 months ago
Explicit relevance models in intent-oriented information retrieval diversification
The intent-oriented search diversification methods developed in the field so far tend to build on generative views of the retrieval system to be diversified. Core algorithm compon...
Saul Vargas, Pablo Castells, David Vallet