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Collaborative filtering (CF) is, besides content-based filtering, one of two major techniques used by recommender systems. Collaborative filtering has two senses, a narrow one and a more general one.
Applications, Types & Application on social web
Explore the main themes, entities and connections around Collaborative filtering. Start with the topic map, then use the sections below for research and deeper semantic analysis.
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collaborative filtering user users items data information system systems similar rating recommendation recommender recommendations item many matrix based new approach
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Collaborative filtering | is a | method of making automatic predictions | 0.90 | text |
| Collaborative filtering | is a | process of filtering information or patterns using techniques involving collaboration among multiple agents | 0.90 | text |
| singular value decomposition | instance of | latent semantic models | 0.80 | text |
| probabilistic latent semantic analysis | instance of | latent semantic models | 0.80 | text |
| multiple multiplicative factor | instance of | latent semantic models | 0.80 | text |
| latent Dirichlet allocation | instance of | latent semantic models | 0.80 | text |
| Markov decision process-based models.Through this approach | instance of | latent semantic models | 0.80 | text |
| dimensionality reduction methods are mostly used for improving robustness | instance of | latent semantic models | 0.80 | text |
| accuracy of memory-based methods | instance of | latent semantic models | 0.80 | text |
| sparsity | instance of | they overcome the CF problems | 0.80 | text |
| loss of information | instance of | they overcome the CF problems | 0.80 | text |
| time | instance of | by pervasive availability of contextual information | 0.80 | text |
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