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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Bibliographic Details
Main Author: Antikacioglu, Arda
Format: Others
Published: Research Showcase @ CMU 2017
Online Access:http://repository.cmu.edu/dissertations/959
http://repository.cmu.edu/cgi/viewcontent.cgi?article=1998&context=dissertations