Mathematics
Logistic Regression Model
100%
Termfrequency
100%
Residuals
100%
Statistics
100%
Statistical Significance
100%
Confidence Level
100%
Inverse Document Frequency
100%
Keyphrases
Relevance Information
100%
Term Weighting
100%
BM25
33%
Mean Average Precision
33%
Statistical Significance
16%
Confidence Level
16%
Relative Improvement
16%
Information Retrieval
16%
Logistic Regression Model
16%
Yield Improvement
16%
Relevance Feedback
16%
Query Terms
16%
Document Context
16%
Term Frequency-inverse Document Frequency (TF-IDF)
16%
Partial Relevance
16%
Precision Measure
16%
Context-independent
16%
New Weights
16%
Relevance Judgment
16%
Computer Science
Context Dependent
100%
Relevance Information
100%
Mean Average Precision
66%
Document Context
33%
Inverse Document Frequency
33%
Relevance Judgment
33%
Relevance Feedback
33%
Confidence Level
33%
Logistic Regression Model
33%
Information Retrieval
33%
Economics, Econometrics and Finance