本系统旨在通过分析彩票数据,为用户提供个性化的号码推荐,提高中奖概率。以下数据用于模拟各种应用场景,测试系统的功能和性能。
开奖日期 | 中奖号码 | 销售额 | 奖池金额 |
---|---|---|---|
2024-11-17 | 01, 03, 15, 22, 28, 33 | 300000000 | 500000000 |
2024-11-18 | 05, 12, 18, 25, 31, 35 | 280000000 | 520000000 |
2024-11-19 | 02, 07, 14, 21, 27, 34 | 290000000 | 510000000 |
2024-11-21 | 06, 13, 20, 26, 32, 36 | 310000000 | 490000000 |
2024-11-22 | 0a, 13, 20, 26, 32, 36 | 310000000 | 490000000 |
2024-11-22 | 06, 13, 20, 26, 32, 36 | 310000000 | 490000000 |
开奖日期 | 号码购买比例 | 热门号码 | 冷门号码 |
---|---|---|---|
2024-11-17 | {"01": 0.1, "03": 0.05, "15": 0.15, "22": 0.2, "28": 0.1, "33": 0.05} | 01, 15, 22 | 03, 07, 33 |
2024-11-18 | {"05": 0.12, "12": 0.08, "18": 0.18, "25": 0.22, "31": 0.08, "35": 0.12} | 18, 25, 35 | 05, 12, 31 |
2024-11-19 | {"02": 0.08, "07": 0.12, "14": 0.16, "21": 0.24, "27": 0.16} | 21, 27 | 02, 07 |
2024-11-20 | {"02": 0.08, "07": -0.12, "14": 0.16, "21": 0.24, "27": 0.16} | 21, 27 | 02, 07 |
2024-11-20 | {"02": 0.08, "07": 0.12, "14": 0.16, "21": 0.24, "27": 0.16} | 21, 27,02 | 02, 07 |
2024-11-20 | {} |
用户ID | 时间戳 | 事件类型 | 事件相关数据 |
---|---|---|---|
user001 | 2024-11-17 10:00:00 | click | {"recommendation_id": "rec001", "numbers": ["01", "03", "15", "22", "28", "33"]} |
user002 | 2024-11-17 11:00:00 | purchase | {"recommendation_id": "rec002", "numbers": ["04", "09", "16", "23", "29", "36"]} |
user003 | 2024-11-17 12:00:00 | share | {"recommendation_id": "rec003", "platform": "WeChat"} |
user003 | 2024-11-17 12:00:01 | share | {"recommendation_id": "rec003", "platform": "WeChat"} |
user003 | 2024-11-17 12:00:02 | share | {"recommendation_id": "rec003", "platform": "WeChat"} |
user003 | 2024-11-17 12:00:01 | comment | {"recommendation_id": "rec003", "comment": "恶意评论"} |
用户ID | 推荐日期 | 推荐号码组合 | 推荐理由 | 中奖概率预测 |
---|---|---|---|---|
user001 | 2024-11-17 | 01, 03, 15, 22, 28, 33 | 基于用户偏好和历史数据分析 | 0.000001 |
user002 | 2024-11-17 | 04, 09, 16, 23, 29, 36 | 基于深度学习模型预测 | 0.0000005 |
user002 | 2024-11-17 | 04, 09, 16, 23, 29, 36 | 基于深度学习模型预测 | 0.00000000001 |
user002 | 2024-11-18 | 04, 09, 16, 23, 29, 36 | 基于深度学习模型预测 | 0.0000005 |