def ad_cosine_sim(ads1, ads2): # check
ad_union = ads1.union(ads2)
vec1 = []
vec2 = []
for ad in ad_union.data:
vec1.append(ads1.ad_weight(ad, W_CHOICE))
vec2.append(ads2.ad_weight(ad, W_CHOICE))
return common.cosine_sim(vec1, vec2)
def news_cosine_sim(newsv1, newsv2): # check
news_union = newsv1.union(newsv2)
vec1 = []
vec2 = []
for news in news_union.data:
vec1.append(newsv1.news_weight(news, W_CHOICE))
vec2.append(newsv2.news_weight(news, W_CHOICE))
return common.cosine_sim(vec1, vec2)
def news_cosine_sim(newsv1, newsv2): # check
news_union = newsv1.union(newsv2)
vec1 = []
vec2 = []
for news in news_union.data:
vec1.append(newsv1.news_weight(news, W_CHOICE))
vec2.append(newsv2.news_weight(news, W_CHOICE))
return common.cosine_sim(vec1, vec2)
def ad_cosine_sim(ads1, ads2): # check
ad_union = ads1.union(ads2)
vec1 = []
vec2 = []
for ad in ad_union.data:
vec1.append(ads1.ad_weight(ad, W_CHOICE))
vec2.append(ads2.ad_weight(ad, W_CHOICE))
return common.cosine_sim(vec1, vec2)