lileipisces / ConvMF

re-implementation of ConvMF (RecSys'16) in TensorFlow with even better performance

ConvMF

re-implementation of ConvMF (RecSys'16) in TensorFlow with even better performance

Introduction

Our implementatation achieves 0.848 in terms of RMSE (check the log.txt) on the ML-1M dataset provided by the authors while their reported result is only 0.8549.

Each line in the input text is formatted as:

user::item::rating::word1 word2 word3

Example:

BCB7302F3A2AD466E27937439CF8AF8C::305921::5::ask for a view of the harbour ! 14th floor was very quiet . come to the kowloon side .

Paper:

Kim, Donghyun, et al. Convolutional matrix factorization for document context-aware recommendation. RecSys'16.