Mining Recommendations From The Web
- Guy Shani ,
- Max Chickering ,
- Chris Meek
In Proceedings of the 2008 ACM Conference on Recommender Systems (RecSys 08) |
Published by ACM
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.