📄 searcher.java
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package dragon.ir.search;import dragon.ir.index.*;import dragon.ir.query.IRQuery;import dragon.ir.search.smooth.Smoother;import java.util.ArrayList;/** * <p>Interface of Text Searcher</p> * <p>The toolkit provides a well-defined framework for text retrieval. The first step is to generate a query according to the topic * descriptions (such as TREC Topic files). Please refer to the package of dragon.ir.query for query generation. The second step is * to create a searcher. Since there are so many different retrieval models, the toolkit creates an interface called Smoother to * hide the implementation details of different models. Thus, the routine for searching is the same for different models. One can * simply call a full rank searcher or a partial rank searcher. </p> * <p>Copyright: Copyright (c) 2005</p> * <p>Company: IST, Drexel University</p> * @author Davis Zhou * @version 1.0 */public interface Searcher { /** * @param query the structured query * @return the number of matched documents */ public int search(IRQuery query); /** * Before calling this method, one should call the search function. * @param ranking the position of the ranked documents. The position starts from zero. * @return the retrieved document in the given position */ public IRDoc getIRDoc(int ranking); /** * @return all retrieved document in ranked order */ public ArrayList getRankedDocumentList(); /** * @return the number of retrieved documents */ public int getRetrievedDocNum(); /** * @return the index reader the current searcher is working on */ public IndexReader getIndexReader(); /** * @return the smoother used for this searcher. */ public Smoother getSmoother(); public IRQuery getQuery(); /** * If the weighting option is set to false, the searcher ignores the weight of searching terms. * @param option the weighting option */ public void setQueryWeightingOption(boolean option); public boolean getQueryWeightingOption();}
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