检索系统向量化计算query-doc相似度

 

 

 1 def cal_sim2(A,B):
 2     '''
 3     A :query [1,2]
 4     B: answers  [[1,2],[3,5]]
 5     '''
 6     need_norm=False
 7     A = np.array(A)
 8     B = np.array(B)
 9     A=A/np.linalg.norm(A)
10     if need_norm:
11         #A=A/np.linalg.norm(A)
12         B= B/np.linalg.norm(B,axis=1).reshape(B.shape[0],1)
13 
14     sim = A.dot(B.T)
15     return sim