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Item-Based Collaborative Filtering Recommendation Algorithm Combining Item Category with Interestingness Measure
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11429760_16openalex-snapshot
Alleviating the Sparsity Problem of Collaborative Filtering Using Trust Inferences
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Eigentaste: A Constant Time Collaborative Filtering Algorithm
inferredcites →https://doi.org/10.1145/1132960.1132963openalex-snapshot
Interestingness measures for data mining
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.1145/502585.502627openalex-snapshot
Evaluation of Item-Based Top- N Recommendation Algorithms
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Evaluation of Item-Based Top-N Recommendation Algorithms
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Application of Dimensionality Reduction in Recommender System - A Case Study
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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