Literatur Details
| Titel | Feedback Options for a Personal News Recommendation Tool |
|---|
| Jahr | 2009 |
|---|
| In | Cooperation in Classification and Data Analysis, Springer, Berlin, S. 91-98. |
|---|
| Autor(en) | Christian Bomhardt and Wolfgang Gaul |
|---|
| Keywords | Personal Recommendations, Feedback Options, Feedback Models |
|---|
| Abstract |
Recommendations can help to vanquish the information overload problem
on the web. Several web sites provide recommendations for their visitors. If
users desire recommendations for sites without this service, they can use browsing
agents that give recommendations. In order to obtain user profiles, common agents
store interesting and/or uninteresting web pages, use them as training data for the
construction of classifiers and give recommendations for unseen web pages. Explicit
rating is regarded as most reliable but exhausting method to obtain training data. We present and evaluate alternative feedback options. We show that less exhausting
feedback options can be applied successfully.
|
|---|
copyright© Christian Bomhardt
|
