Correlation range query for effective recommendations

[1]  Wenjun Zhou,et al.  Correlation Range Query , 2013, WAIM.

[2]  Enhong Chen,et al.  Harnessing the wisdom of the crowds for accurate web page clipping , 2012, KDD.

[3]  Rukmini Iyer,et al.  The sum of its parts: reducing sparsity in click estimation with query segments , 2011, Information Retrieval.

[4]  Hui Xiong,et al.  Checkpoint evolution for volatile correlation computing , 2011, Machine Learning.

[5]  Hui Xiong,et al.  Top-k Correlation Computation , 2008, INFORMS J. Comput..

[6]  Hui Xiong,et al.  Volatile correlation computation: a checkpoint view , 2008, KDD.

[7]  Hui Xiong,et al.  TOP-COP: Mining TOP-K Strongly Correlated Pairs in Large Databases , 2006, Sixth International Conference on Data Mining (ICDM'06).

[8]  Vipin Kumar,et al.  Introduction to Data Mining, (First Edition) , 2005 .

[9]  M. Steinbach,et al.  Introduction to Data Mining , 2005, Principles of Data Mining.

[10]  Hui Xiong,et al.  Identification of Functional Modules in Protein Complexes via Hyperclique Pattern Discovery , 2004, Pacific Symposium on Biocomputing.

[11]  Hui Xiong,et al.  Exploiting a support-based upper bound of Pearson's correlation coefficient for efficiently identifying strongly correlated pairs , 2004, KDD.

[12]  Paul Brown,et al.  CORDS: automatic discovery of correlations and soft functional dependencies , 2004, SIGMOD '04.

[13]  Chris Jermaine,et al.  Playing hide-and-seek with correlations , 2003, KDD '03.

[14]  Michel Wedel,et al.  Cross-Selling Through Database Marketing: A Mixed Data Factor Analyzer for Data Augmentation and Prediction , 2003 .

[15]  D. Eisenberg,et al.  Assigning protein functions by comparative genome analysis: protein phylogenetic profiles. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[16]  Paul Gray,et al.  A Survey of Database Marketing , 1999 .

[17]  Rajeev Motwani,et al.  Beyond market baskets: generalizing association rules to correlations , 1997, SIGMOD '97.

[18]  Wentian Li,et al.  Random texts exhibit Zipf's-law-like word frequency distribution , 1992, IEEE Trans. Inf. Theory.

[19]  Das Amrita,et al.  Mining Association Rules between Sets of Items in Large Databases , 2013 .

[20]  Yehuda Koren,et al.  Improved Neighborhood-based Collaborative Filtering , 2007 .

[21]  Hemant K. Bhargava,et al.  Implementing Sponsored Search in Web Search Engines: Computational Evaluation of Alternative Mechanisms , 2007, INFORMS J. Comput..

[22]  James Bennett,et al.  The Netflix Prize , 2007 .

[23]  Jon Kleinberg,et al.  KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining , 2007, KDD 2007.

[24]  Vipin Kumar,et al.  TAPER: A Two-Step Approach for All-Strong-Pairs Correlation Query in Large Databases , 2006, IEEE Trans. Knowl. Data Eng..

[25]  C. Jermaine.  The Computational Complexity of High-Dimensional Correlation Search , 2001, ICDM.