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Information science / Information retrieval / Information retrieval evaluation / Natural language processing / Machine learning / Internet search engines / Relevance / Ranking / Query expansion / Precision and recall / Search engine technology / Tfidf
Date: 2012-09-25 12:30:08
Information science
Information retrieval
Information retrieval evaluation
Natural language processing
Machine learning
Internet search engines
Relevance
Ranking
Query expansion
Precision and recall
Search engine technology
Tfidf

A Science Model Driven Retrieval Prototype1 Philipp Mayr GESIS – Leibniz-Institute for the Social Sciences Lennéstr. 30, 53113 Bonn, Germany

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