Computer Science and Engineering

MIDAS Seminar

Bias in Search and Recommenders Systems

Ricardo Baeza-YatesCTO, NTENT Director, Data Science Programs,Northeastern University, Silicon Valley Campus
Weiser HallMap

In this presentation Ricardo will cover most biases that affect search and recommender systems. They include biases on the data, the algorithms as well as in the user interaction, in particular, the ones related to relevance feedback loops (e.g., ranking). In each case, he will cover the known techniques to ameliorate them as well as biases that might be the product of the evaluation methods used.