The Computer Science community is invited to a guest talk by Ricardo Baeza-Yates, Pompeu Fabra University, University of Chile
The Web is the largest public big data repository that humankind has created. In this overwhelming data ocean we need to be aware of the quality and in particular, of biases the exist in this data, such as redundancy, spam, etc.
These biases affect the algorithms that we design to improve the user experience. This problem is further exacerbated by biases that are added by these algorithms, specially in the context of recommendation systems.
We give several examples and their relation to sparsity, novelty, and privacy, stressing the importance of the user context to avoid these biases.
MIE Seminar Series website