Inproceedings,

Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce

, and .
Proceedings of the 31st ACM Conference on Hypertext and Social Media, page 291-300. ACM, (July 2020)
DOI: 10.1145/3372923.3404781

Abstract

In this paper, we present our work towards comparing on-line and off-line evaluation metrics in the context of small e-commerce recommender systems. Recommending on small e-commerce enterprises is rather challenging due to the lower volume of interactions and low user loyalty, rarely extending beyond a single session. On the other hand, we usually have to deal with lower volumes of objects, which are easier to discover by users through various browsing/searching GUIs.

Tags

Users

  • @brusilovsky

Comments and Reviews