Collaborative information filtering techniques play a key role in many Web 2.0 applications. While they are currently mainly used for business purposes such as product recommendat...
The goal of collaborative filtering is to make recommendations for a test user by utilizing the rating information of users who share interests similar to the test user. Because r...
Many real life datasets have skewed distributions of events when the probability of observing few events far exceeds the others. In this paper, we observed that in skewed datasets...
We propose a collaborative reputation-based voice spam filtering framework. Our approach uses the cumulative online duration of a VoIP user to derive his reputation value. And we l...
This paper reviews the literature surrounding an information filtering technique, collaborative information filtering, which supports the discovery of resources in a way that is se...
Andrew Walker, Mimi Recker, Kimberly Lawless, Davi...