ECShop 会员系统如何提升用户留存率？

from collections import Counter

def recommend_products(user_history, all_products):
    # 统计用户购买过的商品类别
    category_counts = Counter(item['category'] for item in user_history)

    # 找出最常购买的类别
    most_common_category = category_counts.most_common(1)[0][0]

    # 推荐该类别下的其他商品
    recommendations = [product for product in all_products if product['category'] == most_common_category]

    return recommendations[:5]  # 返回前5个推荐商品

# 示例数据
user_history = [
    {'id': 1, 'name': 'Product A', 'category': 'Electronics'},
    {'id': 2, 'name': 'Product B', 'category': 'Electronics'},
    {'id': 3, 'name': 'Product C', 'category': 'Books'}
]

all_products = [
    {'id': 4, 'name': 'Product D', 'category': 'Electronics'},
    {'id': 5, 'name': 'Product E', 'category': 'Electronics'},
    {'id': 6, 'name': 'Product F', 'category': 'Books'},
    {'id': 7, 'name': 'Product G', 'category': 'Clothing'}
]

recommended_products = recommend_products(user_history, all_products)
print(recommended_products)

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