User contributions
From Cohen Courses
Jump to navigationJump to search- 00:12, 4 April 2011 diff hist +73 Dan Cosley, AAAI, 2010 →Related papers
- 00:10, 4 April 2011 diff hist +160 Dan Cosley, AAAI, 2010 →Summary
- 00:04, 4 April 2011 diff hist +25 Dan Cosley, AAAI, 2010 →Summary
- 00:03, 4 April 2011 diff hist +639 Dan Cosley, AAAI, 2010 →Summary
- 23:53, 3 April 2011 diff hist +11 Dan Cosley, AAAI, 2010 →Databases
- 23:51, 3 April 2011 diff hist -22 Xufei Wang, ICDM, 2010 →Databases
- 23:51, 3 April 2011 diff hist -42 Xufei Wang, ICDM, 2010 →Databases
- 23:50, 3 April 2011 diff hist +70 Xufei Wang, ICDM, 2010 →Databases
- 23:47, 3 April 2011 diff hist +15 Xufei Wang, ICDM, 2010
- 23:42, 3 April 2011 diff hist +623 N Dan Cosley, AAAI, 2010 Created page with '== Citation == Dan Cosley, Daniel Huttenlocher, Jon Kleinberg, Xiangyang Lan, Siddarth Suri. Sequential Influence Models in Social Network. Association for the Advancement of Art…'
- 23:33, 3 April 2011 diff hist -2 User:Nqi →Paper Review current
- 14:38, 3 April 2011 diff hist -15 Syllabus for Analysis of Social Media 10-802 in Spring 2011 →April
- 14:21, 3 April 2011 diff hist +62 Syllabus for Analysis of Social Media 10-802 in Spring 2011 →April
- 13:22, 3 April 2011 diff hist 0 Xufei Wang, ICDM, 2010 →Experimental Result
- 13:22, 3 April 2011 diff hist +878 N Correlational Learning Created page with 'The singular value decomposition of user-tag network M is given by <math>M= U\Sigma V^{T}</math>, where columns of U and V are the left and right singular vectors and <math>\Sigm…' current
- 13:20, 3 April 2011 diff hist -1,326 Xufei Wang, ICDM, 2010 →Brief Description Of The Method
- 13:20, 3 April 2011 diff hist +445 N Normalized Learning Created page with 'Let <math>d_{u_{i}}</math> denote the degree of the user <math>u_{i}</math>,and <math>d_{t_{p}}</math> represent the degree of tag <math>t_{p}</math> in a user-tag network. their…' current
- 13:20, 3 April 2011 diff hist -250 Xufei Wang, ICDM, 2010 →Brief Description Of The Method
- 13:18, 3 April 2011 diff hist +281 N Independent Learning Created page with 'If two tags are different, their similarity can be defined as 0, and 1 if they are the same. their cosine similarity can be rewritten as: <math>S_{e}\left ( e,{e}' \right )= \fr…' current
- 13:18, 3 April 2011 diff hist +12 Xufei Wang, ICDM, 2010 →Brief Description Of The Method