Package | Description |
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es.uam.eps.ir.ranksys.core.model |
Classes for user models.
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es.uam.eps.ir.ranksys.diversity.binom |
Binomial genre-diversity model.
|
es.uam.eps.ir.ranksys.diversity.intentaware |
Intent-aware model.
|
es.uam.eps.ir.ranksys.diversity.intentaware.metrics |
Intent-aware metrics.
|
es.uam.eps.ir.ranksys.metrics.basic |
Implementations of basic, common metrics.
|
es.uam.eps.ir.ranksys.metrics.rel |
Relevance models.
|
es.uam.eps.ir.ranksys.novdiv.itemnovelty |
Item novelty models.
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es.uam.eps.ir.ranksys.novelty.longtail |
Long Tail novelty.
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es.uam.eps.ir.ranksys.novelty.sales |
Sales novelty.
|
es.uam.eps.ir.ranksys.novelty.temporal |
Temporal novelty.
|
es.uam.eps.ir.ranksys.novelty.unexp |
Unexpectedness.
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Constructor and Description |
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UserModel(UserModel<U> model)
Constructor which lazily caches the models for the same users the model in the parameter does.
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Modifier and Type | Class and Description |
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class |
BinomialModel<U,I,F>
Binomial genre diversity model.
|
Modifier and Type | Class and Description |
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class |
AspectModel<U,I,F>
Aspect model for the intent-aware diversification framework.
|
class |
FeatureIntentModel<U,I,F>
Default feature-based intent-aware model.
|
class |
IntentModel<U,I,F>
Intent-aware model.
|
class |
ScoresAspectModel<U,I,F>
Scores-based aspect model.
|
class |
ScoresRelevanceAspectModel<U,I,F>
Relevance-based aspect model for eXplicit Query Aspect Diversification re-ranker.
|
Modifier and Type | Class and Description |
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static class |
ERRIA.ERRRelevanceModel<U,I>
Relevance model for
ERRIA . |
Modifier and Type | Class and Description |
---|---|
static class |
NDCG.NDCGRelevanceModel<U,I>
Relevance model for nDCG, in which the gains of all relevant documents need to be known for the normalization of the metric.
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Modifier and Type | Class and Description |
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class |
BackgroundBinaryRelevanceModel<U,I>
Background discount model: assumes the relevance of unseen items in a test
subset with a pre-fixed gain value.
|
class |
BinaryRelevanceModel<U,I>
Relevance model in which the items in a preference subset with a value
equal or above a threshold are judged as relevant.
|
class |
IdealRelevanceModel<U,I>
Relevance model in which there is full, a-priori knowledge of the relevance
of all the items in the collection.
|
class |
NoRelevanceModel<U,I>
Relevance model in which every item is judged as relevant.
|
class |
RelevanceModel<U,I>
Relevance model: deciding when an item is relevant to a user and the
gain obtained for being recommended.
|
Modifier and Type | Class and Description |
---|---|
class |
ItemNovelty<U,I>
Item novelty model.
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Modifier and Type | Class and Description |
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class |
FDItemNovelty<U,I>
Free discovery item novelty model.
|
class |
PCItemNovelty<U,I>
Popularity complement item novelty model.
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Modifier and Type | Class and Description |
---|---|
class |
ISDCItemNovelty<U,I>
Inter-System Discovery Complement item novelty model.
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Modifier and Type | Class and Description |
---|---|
class |
TDItemNovelty<U,I>
Temporal discovery item novelty model.
|
Modifier and Type | Class and Description |
---|---|
class |
PDItemNovelty<U,I>
Expected profile distance item novelty.
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