Inproceedings,

Mining recommendations from the web

, , and .
Proceedings of the 2008 ACM conference on Recommender systems, page 35--42. New York, NY, USA, ACM, (2008)
DOI: 10.1145/1454008.1454015

Abstract

In this paper we study the challenges and evaluate the effectiveness of data collected from the web for recommendations. We provide experimental results, including a user study, showing that our methods produce good recommendations in realistic applications. We propose a new evaluation metric, that takes into account the difficulty of prediction. We show that the new metric aligns well with the results from a user study.

Tags

Users

  • @brusilovsky
  • @s330790
  • @aho

Comments and Reviews