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)
Exemplo n.º 2
0
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)
Exemplo n.º 3
0
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)
Exemplo n.º 4
0
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)