Analyzing Recommender System's Performance Fluctuations across Users

Recommender systems (RS) are designed to assist users by recommending them items they should appreciate. User based RS exploit users behavior to generate recommendations. As a matter of fact, RS performance fluctuates across users. We are interested in analyzing the characteristics and behavior that make a user receives more accurate/inaccurate recommendations than another.

Computer Science

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Analyzing Recommender System's Performance Fluctuations across Users

Semantic Scholar · Computer Science · 2012

Abstract

Recommender systems (RS) are designed to assist users by recommending them items they should appreciate. User based RS exploit users behavior to generate recommendations. As a matter of fact, RS performance fluctuates across users. We are interested in analyzing the characteristics and behavior that make a user receives more accurate/inaccurate recommendations than another.

Source of record · Semantic Scholar

References (34)

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Semantic Scholar

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