Name: A Hidden Markov Model Purpose: A class for the model, including parameters. Author: Haidong Zhang Created: 28/08/2014 E-mail: haidong_zhang13@163.com
DataPreprocess.py (Firstly excute.)
Pre-process the data, generate two .txt file. 'artist.txt': artist_id: the artist id. num: the number of artists listened to.
'users_artists_timestamp.txt': user_id: the user id. artist_id: the artist id. timestamp: the time stamp.
HMMForCF A Hidden Markov Model for Collaborative Filtering
HMM.py
A class for modeling the hidden markov model. HiddenStatesNum : The number of hidden states. ObservationStatesNum: The number of observation states. InitProbs: The probability of initial vector. TransProbs: he probability of transition matrix. Theta: The probability of emission matrix. a, b: Represent the parameters of negative binomial distribution.
HMM_ForwardBackward1.py
Forward-backward algorithm is used to train the model.
CommonFunc.py
Some common used functions.
UserModel.py
Model the users.
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