CoLinUCBPicked = None
LinUCB_maxPTA = float('-inf')
LinUCBPicked = None
GOBLin_maxPTA = float('-inf')
GOBLinPicked = None
currentUserID = userID
if currentUserID >= userNum:
continue
else:
article_chosen = int(pool_articles[0])
# for article in np.random.permutation(pool_articles) :
for article in pool_articles:
article_id = int(article.strip(']'))
# print article_id
article_featureVector = getFeatureVector(LastFM_FeatureVectorsFileName, article_id)
article_featureVector = np.array(article_featureVector, dtype=float)
# print article_featureVector
currentArticles.append(article_id)
# CoLinUCB pick article
if len(article_featureVector) == 25:
# print 'Yes'
CoLinUCB_pta = CoLinUCB_USERS.getProb(alpha, article_featureVector, currentUserID)
# print article_id, CoLinUCB_pta
if CoLinUCB_maxPTA < CoLinUCB_pta:
CoLinUCBPicked = article_id # article picked by CoLinUCB
CoLinUCB_PickedfeatureVector = article_featureVector
CoLinUCB_maxPTA = CoLinUCB_pta
# print CoLinUCBPicked
LinUCB_pta = LinUCB_users[currentUserID].getProb(alpha, article_featureVector)
if LinUCB_maxPTA < LinUCB_pta:
CoLinUCBPicked = None
LinUCB_maxPTA = float('-inf')
LinUCBPicked = None
GOBLin_maxPTA = float('-inf')
GOBLinPicked = None
currentUserID = userID
if currentUserID >= userNum:
continue
else:
article_chosen = int(pool_articles[0])
#for article in np.random.permutation(pool_articles) :
for article in pool_articles:
article_id = int(article.strip(']'))
#print article_id
article_featureVector = getFeatureVector(Delicious_FeatureVectorsFileName, article_id)
#print article_featureVector
article_featureVector =np.array(article_featureVector,dtype=float)
#print article_featureVector
currentArticles.append(article_id)
# CoLinUCB pick article
if len(article_featureVector)==25:
#print 'Yes'
CoLinUCB_pta = CoLinUCB_USERS.getProb(alpha, article_featureVector, currentUserID)
#print article_id, CoLinUCB_pta
if CoLinUCB_maxPTA < CoLinUCB_pta:
CoLinUCBPicked = article_id # article picked by CoLinUCB
CoLinUCB_PickedfeatureVector = article_featureVector
CoLinUCB_maxPTA = CoLinUCB_pta
LinUCB_pta = LinUCB_users[currentUserID].getProb(alpha, article_featureVector)
if LinUCB_maxPTA < LinUCB_pta:
CoLinUCBPicked = None
LinUCB_maxPTA = float('-inf')
LinUCBPicked = None
GOBLin_maxPTA = float('-inf')
GOBLinPicked = None
currentUserID = userID
if currentUserID >= userNum:
continue
else:
article_chosen = int(pool_articles[0])
#for article in np.random.permutation(pool_articles) :
for article in pool_articles:
article_id = int(article.strip(']'))
#print article_id
article_featureVector = getFeatureVector(LastFM_FeatureVectorsFileName, article_id)
article_featureVector =np.array(article_featureVector ,dtype=float)
#print article_featureVector
currentArticles.append(article_id)
# CoLinUCB pick article
if len(article_featureVector)==25:
#print 'Yes'
CoLinUCB_pta = CoLinUCB_USERS.getProb(alpha, article_featureVector, currentUserID)
#print article_id, CoLinUCB_pta
if CoLinUCB_maxPTA < CoLinUCB_pta:
CoLinUCBPicked = article_id # article picked by CoLinUCB
CoLinUCB_PickedfeatureVector = article_featureVector
CoLinUCB_maxPTA = CoLinUCB_pta
#print CoLinUCBPicked
LinUCB_pta = LinUCB_users[currentUserID].getProb(alpha, article_featureVector)
if LinUCB_maxPTA < LinUCB_pta: