/src/multi-app/ReadMe.txt

http://github.com/beechung/Latent-Factor-Models · Plain Text · 24 lines · 16 code · 8 blank · 0 comment · 0 complexity · 89cec9f2773425fe37865bf3ffb31b0f MD5 · raw file

  1. This directory contains code for fitting the localized factor model described
  2. in the following paper:
  3. Deepak Agarwal, Bee-Chung Chen, Bo Long. Localized factor models for
  4. multi-context recommendation. KDD 2011.
  5. This model jointly factorizes multiple matrices to provide transfer learning
  6. across multiple contexts or applications.
  7. (0) See Notation.txt for the model first.
  8. (1) To compile, just type make in this directory.
  9. see Makefile for details.
  10. (2) Some C and R functions used are in
  11. ../R/utils.{c,h,hpp,R}
  12. (3) Please DO NOT check in .o and .so files into the repository
  13. Directories:
  14. C/ C and C++ code
  15. R/example Examples of how to run different functions
  16. R/model Code for modeling