Worst Practices for Designing Production Information Access Systems

By Fernando Diaz. 2016

13 citations recorded by the source corpus.

Information access systems have become a core part of everyday life for a large variety of users. Behind these large systems are decades of academic information access research. Unfortunately, there is a significant gap between studying and implementing information access systems. In this presentation, I will concentrate on open problems in production systems that academia is better suited for addressing than industry.

Subfields: Computer Science Applications, Management Information Systems, Safety Research

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Science Applications

1. Alexandra Olteanu
2. Carlos Castillo
3. Fernando Diaz
4. Emre Kıcıman

In Management Information Systems

1. Alexandra Olteanu
2. Carlos Castillo

In Safety Research

1. Alexandra Olteanu
2. Carlos Castillo
3. Fernando Diaz
4. Emre Kıcıman

Citations in the corpus

• Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019, background): “Finally, in some cases, metrics may themselves be designed using a statistical model, subject to the same biases presented in section 7.3 (Diaz, 2016).”
• A Critical Review of Online Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2018, background): “Other resources we recommend: books [29, 33], talks and tutorials [1, 9, 15, 36], and several overview papers [4, 25, 31, 35].”