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| <h1 title="Package" class="title">Package org.apache.mahout.cf.taste.impl.recommender.svd</h1> |
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| <tr> |
| <th class="colFirst" scope="col">Interface</th> |
| <th class="colLast" scope="col">Description</th> |
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| <tbody> |
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| <td class="colFirst"><a href="../../../../../../../../org/apache/mahout/cf/taste/impl/recommender/svd/Factorizer.html" title="interface in org.apache.mahout.cf.taste.impl.recommender.svd">Factorizer</a></td> |
| <td class="colLast"> |
| <div class="block">Implementation must be able to create a factorization of a rating matrix</div> |
| </td> |
| </tr> |
| <tr class="rowColor"> |
| <td class="colFirst"><a href="../../../../../../../../org/apache/mahout/cf/taste/impl/recommender/svd/PersistenceStrategy.html" title="interface in org.apache.mahout.cf.taste.impl.recommender.svd">PersistenceStrategy</a></td> |
| <td class="colLast"> |
| <div class="block">Provides storage for <a href="../../../../../../../../org/apache/mahout/cf/taste/impl/recommender/svd/Factorization.html" title="class in org.apache.mahout.cf.taste.impl.recommender.svd"><code>Factorization</code></a>s</div> |
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| <td class="colFirst"><a href="../../../../../../../../org/apache/mahout/cf/taste/impl/recommender/svd/AbstractFactorizer.html" title="class in org.apache.mahout.cf.taste.impl.recommender.svd">AbstractFactorizer</a></td> |
| <td class="colLast"> |
| <div class="block">base class for <a href="../../../../../../../../org/apache/mahout/cf/taste/impl/recommender/svd/Factorizer.html" title="interface in org.apache.mahout.cf.taste.impl.recommender.svd"><code>Factorizer</code></a>s, provides ID to index mapping</div> |
| </td> |
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| <td class="colFirst"><a href="../../../../../../../../org/apache/mahout/cf/taste/impl/recommender/svd/ALSWRFactorizer.html" title="class in org.apache.mahout.cf.taste.impl.recommender.svd">ALSWRFactorizer</a></td> |
| <td class="colLast"> |
| <div class="block">factorizes the rating matrix using "Alternating-Least-Squares with Weighted-λ-Regularization" as described in |
| <a href="http://www.hpl.hp.com/personal/Robert_Schreiber/papers/2008%20AAIM%20Netflix/netflix_aaim08(submitted).pdf"> |
| "Large-scale Collaborative Filtering for the Netflix Prize"</a> |
| |
| also supports the implicit feedback variant of this approach as described in "Collaborative Filtering for Implicit |
| Feedback Datasets" available at http://research.yahoo.com/pub/2433</div> |
| </td> |
| </tr> |
| <tr class="altColor"> |
| <td class="colFirst"><a href="../../../../../../../../org/apache/mahout/cf/taste/impl/recommender/svd/Factorization.html" title="class in org.apache.mahout.cf.taste.impl.recommender.svd">Factorization</a></td> |
| <td class="colLast"> |
| <div class="block">a factorization of the rating matrix</div> |
| </td> |
| </tr> |
| <tr class="rowColor"> |
| <td class="colFirst"><a href="../../../../../../../../org/apache/mahout/cf/taste/impl/recommender/svd/FilePersistenceStrategy.html" title="class in org.apache.mahout.cf.taste.impl.recommender.svd">FilePersistenceStrategy</a></td> |
| <td class="colLast"> |
| <div class="block">Provides a file-based persistent store.</div> |
| </td> |
| </tr> |
| <tr class="altColor"> |
| <td class="colFirst"><a href="../../../../../../../../org/apache/mahout/cf/taste/impl/recommender/svd/NoPersistenceStrategy.html" title="class in org.apache.mahout.cf.taste.impl.recommender.svd">NoPersistenceStrategy</a></td> |
| <td class="colLast"> |
| <div class="block">A <a href="../../../../../../../../org/apache/mahout/cf/taste/impl/recommender/svd/PersistenceStrategy.html" title="interface in org.apache.mahout.cf.taste.impl.recommender.svd"><code>PersistenceStrategy</code></a> which does nothing.</div> |
| </td> |
| </tr> |
| <tr class="rowColor"> |
| <td class="colFirst"><a href="../../../../../../../../org/apache/mahout/cf/taste/impl/recommender/svd/ParallelSGDFactorizer.html" title="class in org.apache.mahout.cf.taste.impl.recommender.svd">ParallelSGDFactorizer</a></td> |
| <td class="colLast"> |
| <div class="block">Minimalistic implementation of Parallel SGD factorizer based on |
| <a href="http://www.sze.hu/~gtakacs/download/jmlr_2009.pdf"> |
| "Scalable Collaborative Filtering Approaches for Large Recommender Systems"</a> |
| and |
| <a href="hwww.cs.wisc.edu/~brecht/papers/hogwildTR.pdf"> |
| "Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent"</a></div> |
| </td> |
| </tr> |
| <tr class="altColor"> |
| <td class="colFirst"><a href="../../../../../../../../org/apache/mahout/cf/taste/impl/recommender/svd/ParallelSGDFactorizer.PreferenceShuffler.html" title="class in org.apache.mahout.cf.taste.impl.recommender.svd">ParallelSGDFactorizer.PreferenceShuffler</a></td> |
| <td class="colLast"> </td> |
| </tr> |
| <tr class="rowColor"> |
| <td class="colFirst"><a href="../../../../../../../../org/apache/mahout/cf/taste/impl/recommender/svd/RatingSGDFactorizer.html" title="class in org.apache.mahout.cf.taste.impl.recommender.svd">RatingSGDFactorizer</a></td> |
| <td class="colLast"> |
| <div class="block">Matrix factorization with user and item biases for rating prediction, trained with plain vanilla SGD</div> |
| </td> |
| </tr> |
| <tr class="altColor"> |
| <td class="colFirst"><a href="../../../../../../../../org/apache/mahout/cf/taste/impl/recommender/svd/SVDPlusPlusFactorizer.html" title="class in org.apache.mahout.cf.taste.impl.recommender.svd">SVDPlusPlusFactorizer</a></td> |
| <td class="colLast"> |
| <div class="block">SVD++, an enhancement of classical matrix factorization for rating prediction.</div> |
| </td> |
| </tr> |
| <tr class="rowColor"> |
| <td class="colFirst"><a href="../../../../../../../../org/apache/mahout/cf/taste/impl/recommender/svd/SVDRecommender.html" title="class in org.apache.mahout.cf.taste.impl.recommender.svd">SVDRecommender</a></td> |
| <td class="colLast"> |
| <div class="block">A <a href="../../../../../../../../org/apache/mahout/cf/taste/recommender/Recommender.html" title="interface in org.apache.mahout.cf.taste.recommender"><code>Recommender</code></a> that uses matrix factorization (a projection of users |
| and items onto a feature space)</div> |
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