/// <summary>
/// 未知ItemCount情况下的Title模式评分公式（得分越大越好）
/// </summary>
/// <param name="Nodes">无用参数</param>
/// <param name="Pattern"></param>
/// <param name="Strategy"></param>
/// <param name="BaseItemCount">无用参数</param>
/// <returns></returns>
public double TitleScore_UnkownItemCount(IEnumerable <HtmlNode> Nodes, HtmlPattern Pattern, ListStrategy Strategy, int BaseItemCount = 0)
{
double Score = /*model.VisualScore * 100 + */ Pattern.ItemCount * 4 + Pattern.AverageTextLength * 3;
//根据class和id是否有特殊字样加权
bool IDClassNameMatched;
double IDClassScore = IDClassNameScore(Pattern.LeastCommonAncestor, TitleClassNames_Must, null, out IDClassNameMatched);
//命中Must +20%
if (IDClassNameMatched)
{
Score *= 1.2;
}
IDClassScore = IDClassNameScore(Pattern.LeastCommonAncestor, null, TitleClassNames_MustNot, out IDClassNameMatched);
//命中MustNot降一半
if (IDClassNameMatched)
{
Score /= 2;
}
return(Score);
}
/// <summary>
/// Author节点的打分函数（越大越好）
/// </summary>
/// <param name="Nodes"></param>
/// <param name="Pattern"></param>
/// <param name="Strategy"></param>
/// <param name="BaseItemCount"></param>
/// <returns></returns>
internal static double AuthorNodeRelPatternScore(IEnumerable <HtmlNode> Nodes, ListStrategy Strategy, int BaseItemCount, int PathLevel, bool PathUsingName)
{
double AvgPossibility = 0;
foreach (HtmlNode Node in Nodes)
{
string Text = TextCleaner.FullClean(XPathUtility.InnerTextNonDescendants(Node));
if (Text.Length > Strategy.MaxLenAuthor)
{
continue;
}
double Posibility = Strategy.MediaType == Enums.MediaType.Forum ? 0.2 : 0;
//检查是否命中日期或点击数的特殊字符，还不能全部排除，可能有特殊人名,本节点的可能性记为0继续下一个
if (TextCleaner.CountCharInSet(Text, FrequentCharSet_MustNotMediaAuthorDate, false) > 0)
{
Posibility = 0.2;
}
//是否是日期时间
if (TextCleaner.CountCharInSet(Text, FrequentCharSet_Dates, false) > Text.Length * 0.6)
{
Posibility *= 0.3;
}
//检查开头
Match PrefixMatch = Regex.Match(Text, @"作\s*者|选\s*稿|编\s*辑|记\s*者");
if (PrefixMatch.Success)
{
Text = Text.Substring(PrefixMatch.Index + PrefixMatch.Length).TrimStart(':', '：', ']', '】', ' ');
//在第一个空格处截断
int SpaceIndex = Text.IndexOf(' ');
if (SpaceIndex > 0)
{
Text = Text.Substring(0, SpaceIndex);
}
Posibility = 1;
}
//禁用词替换
Text = TextCleaner.RemoveStopWords(Text, StopWords);
//检查Top10姓氏命中
if (Regex.IsMatch(Text, @"[李王张刘陈杨赵黄周吴]"))
{
if (Posibility > 0)
{
Posibility *= 1.1;
}
else
{
Posibility = 0.6;
}
}
//根据class和id是否有特殊字样加权
bool IDClassNameMatched;
double IDClassScore = IDClassNameScore(Node, AuthorClassNames_Must, AuthorClassNames_MustNot, out IDClassNameMatched);
if (IDClassNameMatched)
{
Posibility = (Posibility == 0 ? 1 : Posibility) * IDClassScore;
}
//ID或Class中出现Reply则为0（只要主贴作者）
IDClassNameScore(Node, ReplyClassNames_Must, null, out IDClassNameMatched);
if (IDClassNameMatched) //有一个命中reply，这个标志就被设定了
{
Posibility = 0;
}
//长度检查
if (Text.Length * 3 < Strategy.List_BestAvgAuthorLen || Text.Length > Strategy.List_BestAvgAuthorLen * 3)
{
Posibility /= 3; //超过3倍降权到1/3
}
else
{
//Rate在1-3之间
double Rate = Text.Length >= Strategy.List_BestAvgAuthorLen ? Text.Length / (double)Strategy.List_BestAvgAuthorLen
: Strategy.List_BestAvgAuthorLen / (double)Text.Length;
//随着Rate提高降低
Posibility *= (0.4 + 0.35 * (3 - Rate));
}
//论坛出现英文字母、数字或下划线，+50%可能性
if (Strategy.MediaType == Enums.MediaType.Forum && Regex.IsMatch(Text, @"[a-z,0-9,_]+", RegexOptions.IgnoreCase))
{
Posibility *= 1.5;
}
//非名称分隔符（包含空格）出现，6折
if (TextCleaner.CountCharInSet(Text, NoneNameSeperatorSet, Strategy.Language == Language.CHINESE) > 0)
{
Posibility *= 0.6;
}
//累加节点的可能性
AvgPossibility += Posibility;
}
//微调1：级别约小的越好，2级以上每多一个级别扣10%可能性
if (PathLevel > 1)
{
AvgPossibility *= (1 - 0.1 * (PathLevel - 1));
}
//微调2：用ID和class的好于用序号的，增加20%可能性
if (PathUsingName)
{
AvgPossibility *= 1.2;
}
return(AvgPossibility / Nodes.Count());
}
/// <summary>
/// 媒体名称节点的打分函数（越大越好）
/// </summary>
/// <param name="Nodes"></param>
/// <param name="Pattern"></param>
/// <param name="Strategy"></param>
/// <param name="BaseItemCount"></param>
/// <returns></returns>
internal static double MediaNodeRelPatternScore(IEnumerable <HtmlNode> Nodes, ListStrategy Strategy, int BaseItemCount, int PathLevel, bool PathUsingName)
{
double AvgPossibility = 0;
foreach (HtmlNode Node in Nodes)
{
string Text = TextCleaner.FullClean(XPathUtility.InnerTextNonDescendants(Node));
if (Text.Length > Strategy.MaxLenMedia)
{
continue;
}
double Posibility = Strategy.MediaType == MediaType.WebNews ? 0.1 : 0;
//检查是否命中日期或点击数的特殊字符，还不能全部排除，可能有特殊的报纸名称哦,本节点的可能性记为0继续下一个
if (TextCleaner.CountCharInSet(Text, FrequentCharSet_MustNotMediaAuthorDate, false) > 1)
{
Posibility = 0.2;
}
//是否是日期时间
if (TextCleaner.CountCharInSet(Text, FrequentCharSet_Dates, false) > Text.Length * 0.6)
{
Posibility *= 0.3;
}
//检查开头
Match PrefixMatch = Regex.Match(Text, MediaPrefixRegex);
if (PrefixMatch.Success)
{
Text = Text.Substring(PrefixMatch.Index + PrefixMatch.Length).TrimStart(':', '：', ']', '】', ' ');
Posibility = 1;
}
//禁用词替换
Text = TextCleaner.RemoveStopWords(Text, StopWords);
//检查结尾
if (Regex.IsMatch(Text, @"[报台网刊]"))
{
if (Posibility > 0)
{
Posibility = Math.Max(1, Posibility * 1.5);
}
else
{
Posibility = 0.8;
}
}
//根据class和id是否有特殊字样加权
bool IDClassNameMatched;
double IDClassScore = IDClassNameScore(Node, MediaClassNames_Must, MediaClassNames_MustNot, out IDClassNameMatched);
if (IDClassNameMatched)
{
Posibility = (Posibility == 0 ? 1 : Posibility) * IDClassScore;
}
//长度检查
if (Text.Length * 3 < Strategy.List_BestAvgMediaLen || Text.Length > Strategy.List_BestAvgMediaLen * 3)
{
Posibility /= 3; //超过3倍降权到1/3
}
else
{
//Rate在1-3之间
double Rate = Text.Length >= Strategy.List_BestAvgMediaLen ? Text.Length / (double)Strategy.List_BestAvgMediaLen
: Strategy.List_BestAvgMediaLen / (double)Text.Length;
//随着Rate提高降低
Posibility *= (0.4 + 0.35 * (3 - Rate));
}
//非名称分隔符（包含空格）出现，6折
if (TextCleaner.CountCharInSet(Text, NoneNameSeperatorSet, true) > 0)
{
Posibility *= 0.6;
}
//英文出现，再6折
if (LanguageUtility.DetectedLanguage(Text) == Enums.Language.ENGLISH)
{
Posibility *= 0.6;
}
//累加节点的可能性
AvgPossibility += Posibility;
}
//微调1：级别约小的越好，2级以上每多一个级别扣10%可能性
if (PathLevel > 1)
{
AvgPossibility *= (1 - 0.1 * (PathLevel - 1));
}
//微调2：用ID和class的好于用序号的，增加20%可能性
if (PathUsingName)
{
AvgPossibility *= 1.2;
}
//论坛媒体减分
if (Strategy.MediaType == Enums.MediaType.Forum)
{
AvgPossibility /= 2;
}
return(AvgPossibility / Nodes.Count());
}
/// <summary>
/// ViewReply节点的打分函数（越大越好）
/// </summary>
/// <param name="Nodes"></param>
/// <param name="Pattern"></param>
/// <param name="Strategy"></param>
/// <param name="BaseItemCount"></param>
/// <param name="Contain2Numbers">元素中是否包含了2个数字</param>
/// <param name="MustBeReply">是否一定是评论（class或内容有明确指示的情况）</param>
/// <param name="AvgNumber">平均数，用于比较是View或Reply;如果在一个Element中有两个数字，则为长度2的数组，均值大的是第一个</param>
/// <returns></returns>
internal static double ViewNodeRelPatternScore(IEnumerable <HtmlNode> Nodes, ListStrategy Strategy, int BaseItemCount, int PathLevel, bool PathUsingName, out bool Contain2Numbers, out bool MustBeReply, out double[] AvgNumber)
{
Contain2Numbers = false;
MustBeReply = false;
AvgNumber = null;
//平均字符密度的检查
double AvgCharFreq = 0;
foreach (HtmlNode Node in Nodes)
{
string Text = TextCleaner.FullClean(XPathUtility.InnerTextNonDescendants(Node), true, true, true, false, true, false);
if (Text.Length > Strategy.MaxLenView)
{
continue;
}
//检查是否命中日期的特殊字符
if (TextCleaner.CountCharInSet(Text, FrequentCharSet_MustDate, false) > 0)
{
return(0);
}
//检查字符集密度， 不合格直接可能性为0
int CharCount = TextCleaner.CountCharInSet(Text, FrequentCharSet_ViewReply);
AvgCharFreq += CharCount / (double)Text.Length;
}
AvgCharFreq = AvgCharFreq / Nodes.Count();
if (AvgCharFreq < FrequentChars_Min || AvgCharFreq > FrequentChars_Max)
{
return(0);
}
//尝试提取其中的连续数字再解析，统计每个Text有几个数字，及其极值分布
int TotalCount = 0;
int ParsedNode = 0;
List <int> Ints0 = new List <int>(BaseItemCount);
List <int> Ints1 = new List <int>(BaseItemCount);
int ViewNameMatched = 0;
double IDClassScore = 0;
foreach (HtmlNode Node in Nodes)
{
string Text = TextCleaner.FullClean(XPathUtility.InnerTextNonDescendants(Node), true, true, true, false, true, false);
if (Text.Length > Strategy.MaxLenView)
{
continue;
}
MatchCollection digiText = Regex.Matches(Text, @"\d{1,9}");
if (digiText.Count == 0)
{
continue;
}
//数量超过2则不可能
if (digiText.Count > 2)
{
return(0);
}
TotalCount += digiText.Count;
//记录每一个Parse出来的int
int Val0 = int.Parse(digiText[0].Captures[0].Value);
Ints0.Add(Val0);
if (digiText.Count > 1)
{
Ints1.Add(int.Parse(digiText[1].Captures[0].Value));
}
//根据class和id是否有特殊字样加权
bool IDClassNameMatched;
double s = IDClassNameScore(Node, ViewClassNames_Must, ViewClassNames_MustNot, out IDClassNameMatched);
if (IDClassNameMatched)
{
IDClassScore += s;
ViewNameMatched++;
if (s > 0) //正面命中的话，看看是不是reply
{
IDClassNameScore(Node, ReplyClassNames_Must, null, out IDClassNameMatched);
}
if (IDClassNameMatched) //有一个命中reply，这个标志就被设定了
{
MustBeReply = true;
}
}
//根据内容关键词来判断是否MustBeReply
foreach (string ReplyKeyword in ReplyWords)
{
if (Text.Contains(ReplyKeyword))
{
MustBeReply = true;
}
}
ParsedNode++;
}
//标志本元素包含两个数字
if (Ints1.Count > 0 && Ints1.Count == Ints0.Count)
{
AvgNumber = new double[2];
double Sum0 = Ints0.Sum();
double Sum1 = Ints1.Sum();
AvgNumber[0] = (Sum0 > Sum1 ? Sum0 : Sum1) / ParsedNode;
AvgNumber[1] = (Sum0 > Sum1 ? Sum1 : Sum0) / ParsedNode;
Contain2Numbers = true;
}
else if (Ints0.Count > 0 && ParsedNode > 0)
{
AvgNumber = new double[1];
AvgNumber[0] = Ints0.Sum() / ParsedNode;
}
else
{
AvgCharFreq = 0;
}
//如果每个Text只有一个数字，加分20%-50%
if (TotalCount == Nodes.Count())
{
AvgCharFreq *= (Ints0.Max() <= 31) ? 1.2 : 1.5;
}
else if (Ints0.Count > 0)
{
//有两个数字的检查极值
if (Ints0.Max() <= 12 && Ints1.Max() <= 31 || Ints0.Max() <= 31 && Ints1.Max() <= 12)
{
AvgCharFreq *= 0.8;
}
else //排除日期可能，得分翻倍
{
AvgCharFreq *= 2;
}
}
//根据class和id是否有特殊字样加权
if (ViewNameMatched > 0)
{
IDClassScore /= ViewNameMatched;
AvgCharFreq = (AvgCharFreq == 0 ? 1 : AvgCharFreq) * IDClassScore;
}
//微调1：级别约小的越好，2级以上每多一个级别扣10%可能性
if (PathLevel > 1)
{
AvgCharFreq *= (1 - 0.1 * (PathLevel - 1));
}
//微调2：用ID和class的好于用序号的，增加20%可能性
if (PathUsingName)
{
AvgCharFreq *= 1.2;
}
return(AvgCharFreq);
}
/// <summary>
/// 日期节点Pattern的评估函数（考虑时差和数量，可以理解为0-1之间的可能性数值，越大越好）
/// </summary>
/// <param name="Nodes"></param>
/// <param name="Pattern"></param>
/// <param name="Strategy"></param>
/// <param name="BaseItemCount"></param>
/// <returns></returns>
internal static double DateNodeRelPatternScore(IEnumerable <HtmlNode> Nodes, ListStrategy Strategy, int BaseItemCount, int PathLevel, bool PathUsingName)
{
//直接用DateTimeParser.Parser了，所以不用考察字符密度了
double SumDiff = 0;
int ParseCount = 0;
//所有日期和Now的差距综合
foreach (HtmlNode Node in Nodes)
{
string Text = TextCleaner.FullClean(XPathUtility.InnerTextNonDescendants(Node), true, true, true);
if (Text.Length > Strategy.MaxLenDate)
{
continue;
}
DateTime?Val = DateTimeParser.Parser(Text);
if (Val != null)
{
ParseCount++;
DateTime d = (DateTime)Val;
//根据class和id是否有特殊字样加权
bool IDClassNameMatched;
double IDClassScore = IDClassNameScore(Node, DateClassNames_Must, DateClassNames_MustNot, out IDClassNameMatched);
if (d.Hour == 0 && d.Minute == 0 && d.Second == 0)
{
//只有日期，得分为距离Now的时差
SumDiff += Math.Abs((DateTime.Now - d).TotalDays / (IDClassNameMatched ? IDClassScore : 1));
}
else
{
//有精确时间，则只计入一半的时差
SumDiff += Math.Abs((DateTime.Now - d).TotalDays / 2 / (IDClassNameMatched ? IDClassScore : 1));
}
}
}
double Possibility = 0;
//先计算数量的可能性，在1/3-3倍之间都可以，可能性等比递减
if (ParseCount * 3 < BaseItemCount || BaseItemCount * 3 < ParseCount)
{
return(0);
}
if (ParseCount >= BaseItemCount)
{
Possibility = 1 / (ParseCount / BaseItemCount); //倍数的倒数
}
else
{
Possibility = 1 / (BaseItemCount / ParseCount);
}
//根据平均时差来计算可能性
double AvgDiff = SumDiff / ParseCount;
if (AvgDiff > 180) //180以后统一为30%
{
Possibility *= 0.3;
}
else if (AvgDiff > 7) //1周以后为30%-100%，等比递减
{
Possibility *= (0.3 + 0.004046 * (180 - AvgDiff));
}
else if (AvgDiff > 1) //1周以内100%-150%
{
Possibility *= (1 + 0.08333 * (7 - AvgDiff));
}
else //1天以内的，150%-200%，便于区分原帖和评论的时间
{
Possibility *= (1.5 + 0.5 * (1 - AvgDiff));
}
//微调1：级别约小的越好，2级以上每多一个级别扣20%可能性
if (PathLevel > 1)
{
Possibility *= (1 - 0.2 * (PathLevel - 1));
}
//微调2：用ID和class的好于用序号的，增加20%可能性
if (PathUsingName)
{
Possibility *= 1.2;
}
return(Possibility);
}
/// <summary>
/// 已知ItemCount情况下的Title模式评分公式（越大越好）
/// </summary>
/// <param name="Pattern"></param>
/// <param name="Strategy"></param>
/// <param name="BaseItemCount">ItemBase的数量</param>
/// <returns></returns>
public double TitleScore_WithItemCount(IEnumerable <HtmlNode> Nodes, HtmlPattern Pattern, ListStrategy Strategy, int BaseItemCount)
{
double Score = 0;
//如果没有指定最佳ItemCount，则根据Strategy提供
bool NoItemCount = false;
if (BaseItemCount <= 0)
{
BaseItemCount = Strategy.List_BestItemCount;
NoItemCount = true;
}
//Title长度打分10-100，均长跟BestAvg差异1/3或3倍以上的，10分
double Rate = Pattern.AverageTextLength > Strategy.List_BestAvgTitleLen ? Pattern.AverageTextLength / (double)Strategy.List_BestAvgTitleLen : Strategy.List_BestAvgTitleLen / (double)Pattern.AverageTextLength;
if (Rate > 3)
{
Score = 10;
}
else if (Rate > 2)
{
//1/2-2倍到3倍之间，从70降到10
Score = 10 + 60 * (3 - Rate);
}
else //1/2-2倍以内的，100-70分
{
Score = 70 + 30 * (2 - Rate);
}
//先计算数量的可能性，在1/3-3倍之间都可以，可能性等比递减
//fix 20141216: 基本上还是越多越好（例：两个标题平均长度接近的列表，一个9条，一个50条，都在2倍多，难以分辨）
Rate = Pattern.ItemCount > BaseItemCount ? Pattern.ItemCount / (double)BaseItemCount : BaseItemCount / (double)Pattern.ItemCount;
if (!NoItemCount || Pattern.ItemCount > BaseItemCount)
{
if (Rate > 3) //3倍以上5分
{
Score *= 5;
}
else if (Rate > 2) //2-3倍，5-70分
{
Score *= (5 + 65 * (3 - Rate));
}
else //2倍以内，70-100
{
Score *= 70 + 30 * (2 - Rate);
}
}
else //没有指定ItemCount的情况，且ItemCount<最佳值，则使用以下公式
{
if (Rate > 3) //3倍以上5分
{
Score *= 3;
}
else if (Rate > 2) //2-3倍，5-70分
{
Score *= (2.5 + 30 * (3 - Rate));
}
else //2倍以内，70-100
{
Score *= 35 + 15 * (2 - Rate);
}
}
//如果已经提取了RelXPath
if (!string.IsNullOrEmpty(Pattern.RelXPath))
{
//XPath路径级别约小的越好，每多一个级别扣分
if (Pattern.RelXPathLevel < 4) //小于3个级别，比较好
{
Score *= 1 + 0.3 * (3 - Pattern.RelXPathLevel);
}
else
{
Score *= 1 - 0.2 * (Pattern.RelXPathLevel - 4);
}
//用ID和class的好于用序号的，2倍得分
if (Pattern.RelXPathUsingName)
{
Score *= 2;
}
}
//根据class和id是否有特殊字样加权
bool IDClassNameMatched;
double IDClassScore = IDClassNameScore(Pattern.LeastCommonAncestor, TitleClassNames_Must, null, out IDClassNameMatched);
//命中Must +20%
if (IDClassNameMatched)
{
Score *= 1.2;
}
IDClassScore = IDClassNameScore(Pattern.LeastCommonAncestor, null, TitleClassNames_MustNot, out IDClassNameMatched);
//命中MustNot降一半
if (IDClassNameMatched)
{
Score /= 2;
}
//对Title处理，如果处于h1下面的则加分50%
Score *= HtmlTagNameScore(string.IsNullOrEmpty(Pattern.RelXPath) ? Pattern.XPath : Pattern.RelXPath);
return(Score);
}
