Sciweavers

Share
RECSYS
2015
ACM

Adaptation and Evaluation of Recommendations for Short-term Shopping Goals

3 years 4 months ago
Adaptation and Evaluation of Recommendations for Short-term Shopping Goals
An essential characteristic in many e-commerce settings is that website visitors can have very specific short-term shopping goals when they browse the site. Relying solely on longterm user models that are pre-trained on historical data can therefore be insufficient for a suitable next-basket recommendation. Simple “real-time” recommendation approaches based, e.g., on unpersonalized co-occurrence patterns, on the other hand do not fully exploit the available information about the user’s long-term preference profile. In this work, we aim to explore and quantify the effectiveness of using and combining long-term models and shortterm adaptation strategies. We conducted an empirical evaluation based on a novel evaluation design and two real-world datasets. The results indicate that maintaining short-term content-based and recency-based profiles of the visitors can lead to significant accuracy increases. At the same time, the experiments show that the choice of the algorithm for ...
Dietmar Jannach, Lukas Lerche, Michael Jugovac
Added 17 Apr 2016
Updated 17 Apr 2016
Type Journal
Year 2015
Where RECSYS
Authors Dietmar Jannach, Lukas Lerche, Michael Jugovac
Comments (0)
books