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Using various identifiers to classify and rank various media objects

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niagl/Similarity-Analysis

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Phase 1 - Implements a service to fetch the most simillar users/locations/images from the flickr data depending on the tf-df-idf and image models like CM,CN, etc

Phase 2 - Classification/Similarity Ranking using Latent Features

Phase 3 - Text and Image features used to create -> Graph models, Clustering, Indexing and Classification

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Using various identifiers to classify and rank various media objects

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