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ECWEB
2009
Springer
204views ECommerce» more  ECWEB 2009»
13 years 11 months ago
Computational Complexity Reduction for Factorization-Based Collaborative Filtering Algorithms
Abstract. Alternating least squares (ALS) is a powerful matrix factorization (MF) algorithm for both implicit and explicit feedback based recommender systems. We show that by using...
István Pilászy, Domonkos Tikk
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
13 years 10 months ago
A Scalable Collaborative Filtering Framework Based on Co-Clustering
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
Thomas George, Srujana Merugu
ICPR
2008
IEEE
14 years 5 months ago
Efficient user preference predictions using collaborative filtering
Two major challenges in collaborative filtering are the efficiency of the algorithms and the quality of the recommendations. A variety of machine learning methods have been applie...
C. Lee Giles, Yang Song
IR
2002
13 years 4 months ago
An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms
Collaborative filtering systems predict a user's interest in new items based on the recommendations of other people with similar interests. Instead of performing content index...
Jonathan L. Herlocker, Joseph A. Konstan, John Rie...
VTC
2006
IEEE
134views Communications» more  VTC 2006»
13 years 10 months ago
Efficient Algorithms for PAPR Reduction in OFDM Transmitters Implemented using Fixed-Point DSPs
OFDM has a very high peak-to-average power ratio. This imposes stringent dynamic range requirements on the analog front-ends of the transmitter and receiver and, if a fixedpoint pr...
Brendon J. C. Schmidt, Chi Ng, Patrick Yien, Chris...