Uploaded byNeal Lathia
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MobiSys Seminar - Nov 4 2008
This document discusses recommender systems and techniques for improving recommendations. It introduces nearest neighbor collaborative filtering which uses similarity between users or items to make recommendations. However, nearest neighbor has weaknesses like scalability and sparsity. The document explores using cross-dataset nearest neighbors to find similar "experts" across datasets to address these weaknesses. It evaluates whether this approach works based on prediction accuracy, recommendation precision, and user studies. Finally, it discusses future directions like combining multiple data sources for recommendations.
