Samenvatting
Many e-commerce websites use recommender systems to recommend items to users. When a user or item is new, the system may fail because not enough information is available on this user or item. Various solutions to this `cold-start problem' have been proposed in the literature. However, many real-life e-commerce applications suffer from an aggravated, recurring version of cold-start even for known users or items, since many users visit the website rarely, change their interests over time, or exhibit different personas. This paper exposes the `Continuous Cold Start' (CoCoS) problem and its consequences for content- and context-based recommendation from the viewpoint of typical e-commerce applications, illustrated with examples from a major travel recommendation website, Booking.com.
Keywords: Recommender systems, continous cold-start problem, industrial applications
| Originele taal-2 | Engels |
|---|---|
| Titel | 2nd Workshop on New Trends on Content-Based Recommender Systems (CBRecSys 2015, Vienna, Austria, September 20, 2015; co-located with RecSys 2015) |
| Redacteuren | T. Bogers, M. Koolen |
| Uitgeverij | CEUR-WS.org |
| Pagina's | 30-33 |
| Status | Gepubliceerd - 2015 |
Publicatie series
| Naam | CEUR Workshop Proceedings |
|---|---|
| Volume | 1448 |
| ISSN van geprinte versie | 1613-0073 |
Vingerafdruk
Citeer dit
Bernardi, L., Kamps, J., Kiseleva, Y., & Mueller, M. J. I. (2015). The continuous cold start problem in e-commerce recommender systems. In T. Bogers, & M. Koolen (editors), 2nd Workshop on New Trends on Content-Based Recommender Systems (CBRecSys 2015, Vienna, Austria, September 20, 2015; co-located with RecSys 2015) (blz. 30-33). (CEUR Workshop Proceedings; Vol. 1448). CEUR-WS.org.