Integration of self-organizing feature map and K-means algorithm for market segmentation
Computers and Operations Research
TV Scout: Lowering the Entry Barrier to Personalized TV Program Recommendation
AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Some Extensions of the K-Means Algorithm for Image Segmentation and Pattern Classification
Some Extensions of the K-Means Algorithm for Image Segmentation and Pattern Classification
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
An adaptive k-nearest neighbor text categorization strategy
ACM Transactions on Asian Language Information Processing (TALIP)
Privacy-preserving distributed k-means clustering over arbitrarily partitioned data
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Image Denoising with k-nearest Neighbor and Support Vector Regression
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
A recommender system using GA K-means clustering in an online shopping market
Expert Systems with Applications: An International Journal
A Weighted k-Nearest Neighbor Method for Gene Ontology Based Protein Function Prediction
IMSCCS '07 Proceedings of the Second International Multi-Symposiums on Computer and Computational Sciences
A Dynamic MapReduce Scheduler for Heterogeneous Workloads
GCC '09 Proceedings of the 2009 Eighth International Conference on Grid and Cooperative Computing
Efficient service recommendation system for cloud computing market
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
AIMED: a personalized TV recommendation system
EuroITV'07 Proceedings of the 5th European conference on Interactive TV: a shared experience
Data warehousing and analytics infrastructure at facebook
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
SAMR: A Self-adaptive MapReduce Scheduling Algorithm in Heterogeneous Environment
CIT '10 Proceedings of the 2010 10th IEEE International Conference on Computer and Information Technology
Multiple-Job Optimization in MapReduce for Heterogeneous Workloads
SKG '10 Proceedings of the 2010 Sixth International Conference on Semantics, Knowledge and Grids
What's on TV tonight? An efficient and effective personalized recommender system of TV programs
IEEE Transactions on Consumer Electronics
IEEE Transactions on Consumer Electronics
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In recent years, cloud computing technology has matured significantly, as has the development of digital TV services. This, therefore, has led to an increased demand for improved quality TV services. In this paper, cloud computing technology is used to build a program recommendation system for digital TV programs, and the Hadoop Fair Scheduler is utilized to improve processing performance. Historical data of watched TV programs are collected through an electronic program guide, and then processed using K-means clustering, term frequency/inverse document frequency and k-nearest neighbor algorithms, to obtain clusters of audience groups and to find popular TV programs for each cluster. The proposed system can process massive amounts of user data in real-time, and can easily be scaled up.