/// <summary>
/// 用户点击的商品去重后的数量
/// </summary>
/// <param name="data"></param>
public void SetUniqueScanAndBuyCount(IGrouping <int, T_UserAction> data)
{
int spanCount = 24 / m_hourSpan * m_relationDays;
int[] behaviorTypes = new int[] { 1, 2, 3, 4 };
for (int i = 0; i < behaviorTypes.Length; i++)
{
for (int span = spanCount; span > 0; span--)
{
DateTime dateTime = PredictDate.AddHours(-span * m_hourSpan);
int value = data.Where(d => d.behaviortype == behaviorTypes[i] && d.actiondate >= dateTime).GroupBy(d => d.itemid).Count();
if (value == 0)
{
break;
}
this.UniqueItemFourBehaviorCount.SetValue(i, span - 1, value);
}
}
}
//更新商品类别转化率
private void UpdateTransferRate(IGrouping <int, T_UserAction> items)
{
for (int span = 24 * m_relationDays; span > 0; span -= m_hourSpan)
{
var buyCount = this.FourBehaviorCountCollection.ActionData[3][span / m_hourSpan - 1];
DateTime dateTime = PredictDate.AddHours(-span);
var data =
items.GroupBy(d => d.userid)
.Where(d => d.Any(r => r.actiondate >= dateTime));
for (int i = 1; i <= 3; i++)
{
var count = data.Count(d => d.Any(r => r.behaviortype == i) && d.Any(r => r.behaviortype == 4)); //收藏且购买的
var total = data.Count(d => d.Any(r => r.behaviortype == i)); //收藏总人数
double value = 1.0 * (1 + count) / (2 + total); //进行了一次平滑，假设如果没有记录，购买转化率是0.5
TransferRateCollection.SetValue(i - 1, span / m_hourSpan - 1, value);
}
}
}