Quantifying and Improving Sales Diversity in Recommender Systems
Collaborative filtering approaches have produced some of the most accurate and personalized recommender systems to date by mining for similarities in large-scale datasets. However, despite their stellar performance in accuracy based metrics, researchers have demonstrated a propensity by such algorit...
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| Format: | Others |
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Research Showcase @ CMU
2017
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| Online Access: | http://repository.cmu.edu/dissertations/959 http://repository.cmu.edu/cgi/viewcontent.cgi?article=1998&context=dissertations |