def calculate_user_top_5(user,all_apps,user_download_list):
# ways is to calculate all_apps similarity with the user_download_list
app_similarity={}
for app in all_apps:
if app in user_download_list:
continue
else:
#calculate the app similarity with the user download lists
similarity = Helper.cosine_similarity([app],user_download_list)
if app_similarity.has_key(app):
app_similarity[app] = app_similarity[app] + similarity
else:
app_similarity[app] = similarity
#get the top 5
top_five_apps=[]
sorted_apps =sorted(app_similarity.items(),key=operator.itemgetter(1),reverse=True)
i=0
while i<5:
#print("top 10 apps "+sorted_apps[i][0]) ## uncommnet for test one app top 10
top_five_apps.append(sorted_apps[i][0])
i+=1
DataService.update_user_info({'user_id':user},{'$set':{"top_5_app":top_five_apps}})
def calculate_app_top_10(app,user_download_history):
#get app with all the lists similarity
app_similarity ={}
for apps in user_download_history:
similarity = Helper.cosine_similarity([app],apps)
for listapp in apps:
if listapp is app:
continue
elif app_similarity.has_key(listapp):
app_similarity[listapp] = app_similarity[listapp] + similarity
else:
app_similarity[listapp] = similarity
if not app_similarity.has_key(app):
return
#remove itself
#app_similarity.pop(app)
#calculate top10 reverse= true means from bigger to smaller
#items() and operator.itemgetter(1) means get list of tuples with key-value pair
sorted_apps =sorted(app_similarity.items(),key=operator.itemgetter(1),reverse=True)
top_ten_apps=[]
i=0
while i<10:
#print("top 10 apps "+sorted_apps[i][0]) ## uncommnet for test one app top 10
top_ten_apps.append(sorted_apps[i][0])
i+=1
