Content-Based Recommendation
- Item Profiling
- Discovering Features
- tfxidf - Distance/Similarity
- Measures: Jaccard, Cosine, …
- Algorithms for Massive Datasets: MinHash, LSH
- Discovering Features
- User Profiling
- Classification & Decision Tree
Collaborative Filtering
- Distance/Similarity
- Clustering Users and Items
Dimensionality Reduction
- SVD (Singular-Value Decomposition)
- UV-Decomposition
References
- http://sens.tistory.com/331
- [Paper] http://arxiv.org/pdf/1202.1112.pdf
- http://foaf.tistory.com/3
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