Using Human and Machine Processing in Recommendation Systems

By Eric Colson. 2013

12 citations recorded by the source corpus.

This paper presents a case study of an online apparel retailer called Stitch Fix, which uses both machine and human processing in its recommendation system.

Subfields: Computer Science Applications, Human-Computer Interaction

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. Hanna M. Wallach
2. Daniel G. Goldstein
3. Jennifer Wortman Vaughan
4. Jake M. Hofman
5. Lihong Li
6. Adith Swaminathan
7. Thorsten Joachims

In Human-Computer Interaction

1. Hanna M. Wallach

Citations in the corpus

• Manipulating and Measuring Model Interpretability (2018, background): “, provide recommendations for what movies to watch (e.g., Netflix, [7]) or what music to listen to on online streaming platforms (e.g., Spotify, [54]), help people shop for clothing (e.g., Stitch Fix, [15]), and recommend whom to date on online dating platforms (e.g., OKCupid, [64]). More and more of”