/// <summary>
/// Computes score for given entry
/// </summary>
/// <param name="entry">The entry.</param>
/// <param name="context">The context.</param>
/// <param name="log">The log.</param>
/// <returns></returns>
public override double Score(DocumentSelectResultEntry entry, DocumentSelectResult context, ILogBuilder log)
{
Double output = 0;
foreach (String term in entry.spaceDocument.terms.GetTokens())
{
Boolean isOk = true;
if (context.selectedFeatures != null)
{
if (context.selectedFeatures.Count > 0)
{
if (!context.selectedFeatures.ContainsKey(term))
{
isOk = false;
}
}
}
if (isOk)
{
if (queryTerms.Any())
{
if (queryTerms.Contains(term))
{
output += weightDictionary.GetValue(term); // TermWeightModel.GetWeight(term, entry.spaceDocument, context.spaceModel);
}
}
else
{
output += weightDictionary.GetValue(term); // TermWeightModel.GetWeight(term, entry.spaceDocument, context.spaceModel);
}
}
}
return(output);
}
/// <summary>
/// Scores the specified entry.
/// </summary>
/// <param name="entry">The entry.</param>
/// <param name="context">The context.</param>
/// <param name="log">The log.</param>
/// <returns></returns>
public override double Score(DocumentSelectResultEntry entry, DocumentSelectResult context, ILogBuilder log)
{
if (useMachineLearning)
{
WeightDictionary dc_vec = TermWeightModel.GetWeights(SelectedTerms.GetKeys(), entry.spaceDocument, context.spaceModel);
var n_vec = fvConstructor.ConstructFeatureVector(dc_vec, entry.AssignedID);
Double score = 0;
Int32 l_id = -1;
if (sc_id.ContainsKey(entry.AssignedID))
{
l_id = sc_id[entry.AssignedID];
}
score = classifier.DoScore(n_vec, log, l_id);
return(score);
}
else
{
if (scoreDictionary.ContainsKey(entry.AssignedID))
{
var fv = scoreDictionary[entry.AssignedID];
return(fv.CompressNumericVector(vectorCompression));
}
else
{
return(0);
}
}
}
public static TokenFrequencyAndScoreDictionary ProjectPrimaryTermsToScores(ProjectionDictionary projection, DocumentSelectResult scores, ILogBuilder logger)
{
var scoreByAssignedID = scores.GetByAssignedID(logger);
TokenFrequencyAndScoreDictionary tokenFrequencyAndScoreDictionary = new TokenFrequencyAndScoreDictionary();
foreach (var pair in projection)
{
DocumentSelectResultEntry entry = null; //drmContext.items.FirstOrDefault(x => x.AssignedID == pair.Key);
if (scoreByAssignedID.ContainsKey(pair.Key))
{
entry = scoreByAssignedID[pair.Key];
}
if (entry != null)
{
Double score = entry.score;
tokenFrequencyAndScoreDictionary.Add(pair.Value.primary.terms, score);
}
}
return(tokenFrequencyAndScoreDictionary);
}
/// <summary>
/// Scores the specified entry.
/// </summary>
/// <param name="entry">The entry.</param>
/// <param name="context">The context.</param>
/// <param name="log">The log.</param>
/// <returns></returns>
public override double Score(DocumentSelectResultEntry entry, DocumentSelectResult context, ILogBuilder log)
{
Double score = 0;
WebSiteGraph webSiteGraph = context.domainNameToGraph[entry.DomainID]; // GraphRegistry[entry.DomainID];
freeGraphNodeAndLinks outLinks = webSiteGraph.GetLinks(entry.AssignedID, true, false);
freeGraphNodeAndLinks inLinks = webSiteGraph.GetLinks(entry.AssignedID, false, true);
if (functionFlags.HasFlag(GraphFactorFunctionEnum.count_outbound))
{
score += outLinks.Count;
}
if (functionFlags.HasFlag(GraphFactorFunctionEnum.count_inbound))
{
score += inLinks.Count;
}
if (score == 0)
{
return(score);
}
if (functionFlags.HasFlag(GraphFactorFunctionEnum.divide_by_graphlinks))
{
score = score / webSiteGraph.CountLinks();
}
if (functionFlags.HasFlag(GraphFactorFunctionEnum.divide_by_graphnodes))
{
score = score / webSiteGraph.CountNodes();
}
if (functionFlags.HasFlag(GraphFactorFunctionEnum.divide_by_inbound))
{
score = score / inLinks.Count;
}
if (functionFlags.HasFlag(GraphFactorFunctionEnum.divide_by_outbound))
{
score = score / outLinks.Count;
}
if (functionFlags.HasFlag(GraphFactorFunctionEnum.divide_by_linkCount))
{
score = score / (inLinks.Count + outLinks.Count);
}
return(score);
}
/// <summary>
/// Scores the specified entry.
/// </summary>
/// <param name="entry">The entry.</param>
/// <param name="context">The context.</param>
/// <param name="log">The log.</param>
/// <returns></returns>
public override Double Score(DocumentSelectResultEntry entry, DocumentSelectResult context, ILogBuilder log)
{
var entry_stats = statsByAssignedID[entry.AssignedID];
entry_stats.reCalculate(instanceCountCollection <string> .preCalculateTasks.all);
Double score = 0;
switch (functionName)
{
case ScoreModelMetricFactorEnum.varianceFreq:
score = entry_stats.varianceFreq;
break;
case ScoreModelMetricFactorEnum.TotalScore:
score = entry_stats.TotalScore;
break;
case ScoreModelMetricFactorEnum.standardDeviation:
score = entry_stats.standardDeviation;
break;
case ScoreModelMetricFactorEnum.entropyFreq:
score = entry_stats.entropyFreq;
break;
case ScoreModelMetricFactorEnum.avgFreq:
score = entry_stats.avgFreq;
break;
case ScoreModelMetricFactorEnum.Count:
score = entry_stats.Count;
break;
case ScoreModelMetricFactorEnum.Ordinal:
score = assignedIDs.Count - assignedIDs.IndexOf(entry.AssignedID);
break;
default:
score = entry_stats.Count;
break;
}
return(score);
}
public override double Score(DocumentSelectResultEntry entry, DocumentSelectResult context, ILogBuilder log)
{
FeatureVectorWithLabelID fv = vectorDictionary.Get(entry.DomainID, entry.AssignedID);
if (fv == null)
{
log.log("Can't find vector dictionary entry for [" + entry.DomainID + "]>[" + entry.AssignedID + "]");
return(0);
}
Double sc = 0;
if (computation.HasFlag(ScoreComputationModeEnum.offset))
{
sc = fv.CompressByTrueDimension(fv.labelID);
}
else if (computation.HasFlag(ScoreComputationModeEnum.variance))
{
sc = fv.dimensions.GetVarianceCoefficient();
}
else if (computation.HasFlag(ScoreComputationModeEnum.distance))
{
sc = fv.CompressNumericVector(imbSCI.Core.enums.operation.max);
}
else
{
sc = fv.dimensions[0];
}
if (computation.HasFlag(ScoreComputationModeEnum.inverse))
{
sc = -sc;
}
if (sc == Double.NaN)
{
sc = 0;
}
else
{
}
return(sc);
}
public override double Score(DocumentSelectResultEntry entry, DocumentSelectResult context, ILogBuilder log)
{
// WebSiteGraph webSiteGraph = context.domainNameToGraph[entry.DomainID];
Double score = 0;
//var matrix = webSiteGraph.GetIDMatrix();
switch (algorithm)
{
case GraphFactorAlgorithm.HITS:
if (p_hits.ContainsKey(entry.DomainID))
{
HITSRank hits = p_hits[entry.DomainID];
if (hits.ContainsKey(entry.AssignedID))
{
score = hits[entry.AssignedID] * scoreUnit;
}
}
break;
case GraphFactorAlgorithm.PageRank:
if (p_rank[entry.DomainID].ContainsKey(entry.AssignedID))
{
score = p_rank[entry.DomainID][entry.AssignedID];
}
break;
}
return(score);
}
public abstract Double Score(DocumentSelectResultEntry entry, DocumentSelectResult context, ILogBuilder log);
/// <summary>
/// Prepares the context.
/// </summary>
/// <param name="context">The context.</param>
/// <param name="log">The log.</param>
/// <returns></returns>
public static DocumentSelectResult PrepareContext(this OperationContext context, DocumentRankingMethod ranking, folderNode folder, ILogBuilder log)
{
DocumentSelectResult selectContext = new DocumentSelectResult();
selectContext.stemmingContext = context.stemmContext;
selectContext.spaceModel = context.spaceModel;
selectContext.folder = folder;
if (ranking != null)
{
selectContext.name = ranking.model.GetSignature();
selectContext.query = ranking.query;
builderForText builder = new builderForText();
ranking.Describe(builder);
builder.AppendLine("Selected features [" + selectContext.selectedFeatures.description + "].");
selectContext.description = builder.GetContent().Replace(Environment.NewLine, "");
}
selectContext.selectedFeatures = context.SelectedFeatures;
foreach (KeyValuePair <string, WebSiteDocuments> pair in context.webSiteByDomain)
{
selectContext.domainNameToGraph.Add(pair.Key, pair.Value?.extensions?.graph);
foreach (WebSiteDocument doc in pair.Value.documents)
{
DocumentSelectResultEntry entry = new DocumentSelectResultEntry();
TextDocument text = null;
string err = "";
//if (context.textDocuments.ContainsKey(doc.AssignedID))
//{
// text = context.textDocuments[doc.AssignedID];
//}
//else
//{
// err += "Failed to find text document for [" + doc.AssignedID + "]";
//}
SpaceDocumentModel spaceDocument = context.spaceModel.documents.FirstOrDefault(x => x.name == doc.AssignedID);
if (spaceDocument == null)
{
err += "Failed to find space model document for [" + doc.AssignedID + "]";
}
string dn = pair.Value.domain;
entry.SetEntry(dn, doc, spaceDocument, text);
if (!entry.HasTextOrSpaceModel)
{
log.log(err);
}
selectContext.items.Add(entry);
//entry.SetEntry( context.context.webDocumentByAssignedID[pair.Key], webDocIDToDomain[aID], webDocumentRegistry[aID], spaceDocumentRegistry[aID], textDocumentRegistry[aID]);
}
}
// PREPARATION OF MODEL
if (ranking != null)
{
ranking.model.Prepare(selectContext, log);
}
return(selectContext);
}
/// <summary>
/// Executes the specified context.
/// </summary>
/// <param name="context">The context.</param>
/// <param name="log">The log.</param>
/// <returns></returns>
public static DocumentSelectResult ExecuteLimit(this DocumentSelectQuery query, DocumentSelectResult context, ILogBuilder log)
{
if (query.options.HasFlag(DocumentSelectQueryOptions.DomainLevelNormalization))
{
log.log("DS Scores normalized on website / domain level");
context.items.NormalizeWithinDomain(log);
}
// QUERY LIMITS
List <DocumentSelectResultEntry> sortedList = context.items.OrderByDescending(x => x.score).ToList();
context.items.Clear();
context.items.AddRange(sortedList);
if (query.TrasholdLimit != 0.0)
{
List <DocumentSelectResultEntry> underTrashold = new List <DocumentSelectResultEntry>();
foreach (DocumentSelectResultEntry entry in context.items)
{
if (entry.score < query.TrasholdLimit)
{
underTrashold.Add(entry);
}
}
foreach (DocumentSelectResultEntry entry in underTrashold)
{
context.items.Remove(entry);
}
}
if (query.SizeLimit > 0)
{
if (query.options.HasFlag(DocumentSelectQueryOptions.ApplyDomainLevelLimits))
{
List <DocumentSelectResultEntry> overLimit = new List <DocumentSelectResultEntry>();
var byDomain = context.GetByDomain(log);
foreach (var pair in byDomain)
{
Int32 count = 0;
List <DocumentSelectResultEntry> domainSortedList = pair.Value.OrderByDescending(x => x.score).ToList();
if (query.options.HasFlag(DocumentSelectQueryOptions.ForceHomePage))
{
DocumentSelectResultEntry homeEntry = domainSortedList.GetDocWithShortestID();
if (domainSortedList.Remove(homeEntry))
{
count++;
}
}
foreach (DocumentSelectResultEntry entry in domainSortedList)
{
if (count >= query.SizeLimit)
{
overLimit.Add(entry);
}
count++;
}
}
foreach (DocumentSelectResultEntry entry in overLimit)
{
context.Remove(entry);
}
}
else
{
if (context.Count > query.SizeLimit)
{
context.RemoveRange(query.SizeLimit, context.Count - query.SizeLimit);
}
}
}
return(context);
}