def __init__(self):
super(SocialReg, self).__init__()
# self.config.lambdaP = 0.001
# self.config.lambdaQ = 0.001
self.config.alpha = 0.1
self.config.isEarlyStopping = True
self.tg = TrustGetter()
def __init__(self):
super(SocialRec, self).__init__()
# self.config.lr=0.0001
self.config.alpha = 10
self.config.lambdaZ = 0.001
self.tg = TrustGetter()
self.init_model()
def __init__(self):
super(RSTE, self).__init__()
# self.maxIter=700
self.config.alpha = 1.0
# self.config.lambdaH=0.01
self.tg = TrustGetter()
self.init_model()
def __init__(self):
super(SocialMF, self).__init__()
# self.config.lr=0.0001
self.config.alpha = 1 # 0.8 rmse=0.87605
# 获取社交数据
self.tg = TrustGetter() # loading trust data
def __init__(self):
super(SocialReg, self).__init__()
self.config.lambdaP = 0.001
self.config.lambdaQ = 0.001
self.config.alpha = 0.02
self.tg = TrustGetter()
self.init_model()
def __init__(self):
super(SocialRec, self).__init__()
# self.config.lr=0.0001
self.config.alpha = 0.1
self.config.lambdaZ = 0.01
# 初始化 社交 trust tg.followers <class 'dict'> 数据
self.tg = TrustGetter()
pass
def __init__(self):
super(DataStatis, self).__init__()
self.config = ConfigX()
self.rg = RatingGetter() # loading raing data
self.tg = TrustGetter()
self.cold_rating = 0
self.cold_social = 0
self.cold_rating_social = 0
self.cold_rating_warm_social = 0
self.warm_rating_cold_social = 0
self.warm_rating_warm_social = 0
def __init__(self):
super(CUNE, self).__init__()
self.config.lambdaP = 0.01
self.config.lambdaQ = 0.01
self.config.alpha = 0.01
self.config.isEarlyStopping = True
self.tg = TrustGetter()
self.config.walkCount = 30
self.config.walkLength = 20
self.config.walkDim = 20
self.config.winSize = 5
self.config.topK = 50
def __init__(self):
super(TrustSVD, self).__init__()
self.config.lr = 0.01 # 0.005
self.config.maxIter = 100
self.config.lambdaP = 1.2
self.config.lambdaQ = 1.2
self.config.lambdaB = 1.2
self.config.lambdaY = 1.2
self.config.lambdaW = 1.2
self.config.lambdaT = 0.9
self.tg = TrustGetter()
def __init__(self):
super(TrustSVD, self).__init__()
self.config.lr = 0.01 # 0.005
self.config.maxIter = 100
self.config.lambdaP = 2
self.config.lambdaQ = 2
self.config.isEarlyStopping = True
self.config.lambdaB = 2
self.config.lambdaY = 2
self.config.lambdaW = 2
self.config.lambdaT = 2
self.tg = TrustGetter()
def __init__(self):
super(TrustWalker, self).__init__()
np.random.seed(0)
self.tg = TrustGetter()
self.init_model()