TY - GEN
T1 - The continuous cold start problem in e-commerce recommender systems
AU - Bernardi, L.
AU - Kamps, J.
AU - Kiseleva, Y.
AU - Mueller, M.J.I.
PY - 2015
Y1 - 2015
N2 - 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
AB - 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
UR - http://ceur-ws.org/Vol-1448/paper6.pdf
M3 - Conference contribution
T3 - CEUR Workshop Proceedings
SP - 30
EP - 33
BT - 2nd Workshop on New Trends on Content-Based Recommender Systems (CBRecSys 2015, Vienna, Austria, September 20, 2015; co-located with RecSys 2015)
A2 - Bogers, T.
A2 - Koolen, M.
PB - CEUR-WS.org
ER -