Class HeuristicAverageEmbeddednessRerankerGridSearch<U>
java.lang.Object
es.uam.eps.ir.relison.grid.links.recommendation.rerankers.swap.edge.HeuristicAverageEmbeddednessRerankerGridSearch<U>
- Type Parameters:
U
- type of the users
- All Implemented Interfaces:
RerankerGridSearch<U>
public class HeuristicAverageEmbeddednessRerankerGridSearch<U> extends java.lang.Object implements RerankerGridSearch<U>
Grid search for a reranker that optimizes the average embeddedness of the graph using
heuristic approximations.
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Field Summary
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Constructor Summary
Constructors Constructor Description HeuristicAverageEmbeddednessRerankerGridSearch()
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Method Summary
Modifier and Type Method Description java.util.Map<java.lang.String,GlobalRerankerFunction<U>>
grid(Grid grid)
Obtains the different reranking approaches given a grid.java.util.Map<java.lang.String,java.util.function.Supplier<GlobalReranker<U,U>>>
grid(Grid grid, int cutoff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph, Communities<U> comms)
Obtains the different reranking approaches given a grid.
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Field Details
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LAMBDA
private static final java.lang.String LAMBDAIdentifier for the parameter that takes the trade-off between relevance and diversity.- See Also:
- Constant Field Values
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MODE
private final java.lang.String MODEIdentifier for the update mode of the reranker.- See Also:
- Constant Field Values
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Constructor Details
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HeuristicAverageEmbeddednessRerankerGridSearch
public HeuristicAverageEmbeddednessRerankerGridSearch()
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Method Details
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grid
public java.util.Map<java.lang.String,java.util.function.Supplier<GlobalReranker<U,U>>> grid(Grid grid, int cutoff, java.util.function.Supplier<Normalizer<U>> norm, Graph<U> graph, Communities<U> comms)Description copied from interface:RerankerGridSearch
Obtains the different reranking approaches given a grid.- Specified by:
grid
in interfaceRerankerGridSearch<U>
- Parameters:
grid
- the parameter grid of the algorithm.cutoff
- the size of the definitive ranking.norm
- suppliers for the normalization scheme.graph
- the training graph.comms
- the community partition for the training graph.- Returns:
- a map containing suppliers for the different configurations of the reranking approach.
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grid
Description copied from interface:RerankerGridSearch
Obtains the different reranking approaches given a grid.- Specified by:
grid
in interfaceRerankerGridSearch<U>
- Parameters:
grid
- the parameter grid for the algorithm.- Returns:
- a map containing suppliers for the different configurations of the reranking approach.
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