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Inverted Index for retrieval and ranking
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Recommender Engines for the Book-Crossing Dataset
- Content-Based
- Collaborative Filtering (with hierarchical clustering and dimensionality reduction)
- SVD approach
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Evaluation metrics for a search engine (R-precision, modified nDCG) and Fagin's algorithm for Top-k queries retrieval (MG4J & Python)
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Recommendation Systems for movies using a personalized PageRank algorithm
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Classifiers (spam/no-spam) using k-NN & SVM with RBF kernel
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Web Crawler with priority for pages with the highest partial PageRank
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Toy Lucene search engine
