def return_user_ranking(userid):
userId = int(userid)
ranking = rank.main()
#num=int(return_support_num())
num = 20
for i in range(num):
rankId = int(ranking[i][0])
print("userId:", userId)
print("rankId:", rankId)
if (userId == rankId):
return i + 1
else:
return -1
def result_page(root, query):
window = Toplevel(root)
window.configure(background="white")
window.title("Result")
#window.geometry(str(GetSystemMetrics(0)) + 'x' + str(GetSystemMetrics(1)))
window.attributes('-fullscreen', True)
output, doc = rank.main(query)
root.withdraw()
link = [doc[i]["Link"] for i in output]
print(link)
frame = Frame(window, bg="white")
frame.pack()
for i in range(len(output)):
url = link[i]
Button(frame,
text=output[i],
height=10,
width=45,
bg="white",
font="Helvetica 12 bold",
command=lambda url=url: webbrowser.open_new(url)).grid(
row=int(i / 3), column=i % 3)
window.mainloop()
def tune3_(w):
rank.weights_task3 = [1.0, 0.5, 0.1, 0.3, 2.0]
rank.Boost = w[0]
rank.main(3,"queryDocTrainData")
print w
return -ndcg.main("ranked.txt", "queryDocTrainRel")
def tune3(w):
rank.weights_task3 = w[0:5]
rank.Boost = w[5]
rank.main(3,"queryDocTrainData")
print w
return -ndcg.main("ranked.txt", "queryDocTrainRel")
def tune1(w):
rank.weights = w
rank.main(1,"queryDocTrainData")
print w
return -ndcg.main("ranked.txt", "queryDocTrainRel")
def opcao_ranking(): rank.main()
