ACL RD-TEC 1.0 Summarization of N06-1051
Paper Title:
A MACHINE LEARNING BASED APPROACH TO EVALUATING RETRIEVAL SYSTEMS
A MACHINE LEARNING BASED APPROACH TO EVALUATING RETRIEVAL SYSTEMS
Authors: Huyen-Trang Vu and Patrick Gallinari
Primarily assigned technology terms:
- ad-hoc retrieval
- algorithm
- approximation
- automatic feature selection
- boosting
- document ranking
- feature mapping
- feature selection
- information retrieval
- iterative algorithm
- learning
- learning algorithm
- learning algorithms
- learning techniques
- machine learning
- machine learning techniques
- online learning
- online learning algorithm
- pool sampling
- rankboost
- ranking
- ranking algorithm
- ranking function
- ranking learning
- relevance assessment
- retrieval system
- retrieval systems
- sampling
- scoring
- scoring function
- search
- search engines
- statistical inference
- statistical techniques
- synchronisation
- training process
- voting
- voting scheme
- web search
- weighting
Other assigned terms:
- approach
- bias
- case
- community
- convergence
- corpora
- correlation
- data set
- document
- document collection
- document collections
- experimental results
- fact
- feature
- feature space
- feature value
- feature vector
- heuristic
- human judgment
- implementation
- independence assumption
- linear combination
- mapping
- measure
- measures
- method
- methodology
- nist
- norm
- precision
- probability
- procedure
- process
- queries
- query
- rank correlation
- ranking correlation
- set size
- statistic
- statistics
- system evaluation
- system performance
- terms
- test collection
- text
- topics
- training
- training criterion
- training data
- training data set
- training dataset
- training instance
- transformation
- trec-7
