What recommenders recommend: an analysis of recommendation biases and possible countermeasures

User Modeling and User-Adapted Interaction, Volume 25, Issue 5, 2015.

Cited by: 82|Bibtex|Views65|Links
EI
Keywords:
Recommender systemsBiasEvaluation

Abstract:

Most real-world recommender systems are deployed in a commercial context or designed to represent a value-adding service, e.g., on shopping or Social Web platforms, and typical success indicators for such systems include conversion rates, customer loyalty or sales numbers. In academic research, in contrast, the evaluation and comparison o...More

Code:

Data:

Your rating :
0

 

Tags
Comments