Class | Description | |
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AbstractDataModel |
Contains some features common to all implementations.
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BooleanItemPreferenceArray |
Like BooleanUserPreferenceArray but stores preferences for one item (all item IDs the same) rather
than one user.
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BooleanPreference |
Encapsulates a simple bool "preference" for an item whose value does not matter (is fixed at 1.0). This
is appropriate in situations where users conceptually have only a general "yes" preference for items,
rather than a spectrum of preference values.
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BooleanUserPreferenceArray |
Like GenericUserPreferenceArray but stores, conceptually, BooleanPreference objects which
have no associated preference value.
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GenericBooleanPrefDataModel |
A simple IDataModel which uses given user data as its data source. This implementation
is mostly useful for small experiments and is not recommended for contexts where performance is important.
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GenericDataModel |
A simple IDataModel which uses a given list of users as its data source. This implementation
is mostly useful for small experiments and is not recommended for contexts where performance is important.
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GenericItemPreferenceArray |
Like GenericUserPreferenceArray but stores preferences for one item (all item IDs the same) rather
than one user.
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GenericPreference |
A simple {@link Preference} encapsulating an item and preference value.
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GenericUserPreferenceArray |
Like GenericItemPreferenceArray but stores preferences for one user (all user IDs the same) rather
than one item.
This implementation maintains two parallel arrays, of item IDs and values. The idea is to save allocating IPreference objects themselves. This saves the overhead of IPreference objects but also duplicating the user ID value. | |
PlusAnonymousConcurrentUserDataModel | This is a special thread-safe version of PlusAnonymousUserDataModel which allow multiple concurrent anonymous requests. To use it, you have to estimate the number of concurrent anonymous users of your application. The pool of users with the given size will be created. For each anonymous recommendations request, a user has to be taken from the pool and returned back immediately afterwards. If no more users are available in the pool, anonymous recommendations cannot be produced. | |
PlusAnonymousUserDataModel | This IDataModel decorator class is useful in a situation where you wish to recommend to a user that doesn't really exist yet in your actual IDataModel. For example maybe you wish to recommend DVDs to a user who has browsed a few titles on your DVD store site, but, the user is not yet registered. This enables you to temporarily add a temporary user to an existing IDataModel in a way that recommenders can then produce recommendations anyway. | |
PlusAnonymousUserlongPrimitiveIterator |