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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jones, N. Brun, A. Boyer, A. |
| Copyright Year | 2011 |
| Abstract | More and more personalization systems are emerging to reduce the information overload of the Web. As a result, it has become vital to model users' preferences accurately. Our focus lies in the quality of users' expressed preferences, in terms of reliability and stability through time. Today, users are often brought to express their preferences through ratings on a multi-point scale. However, several studies have highlighted problems with ratings. We propose a new preference modality whereby users compare items two-by two ("I prefer x to y").This initial work on comparisons shows that users are in favor of this new preference mechanism and that comparisons are almost 20% more stable over time than those conveyed through ratings, thus more reliable. These encouraging findings let us think that comparisons may lead to a better user modeling and an increase in the quality of personalization services, such as recommender systems. |
| Starting Page | 451 |
| Ending Page | 456 |
| File Size | 319608 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457713736 |
| DOI | 10.1109/WI-IAT.2011.13 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-08-22 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | personalization Noise Focusing ratings comparisons Motion pictures Stability analysis Noise measurement Artificial intelligence preference expression stability |
| Content Type | Text |
| Resource Type | Article |
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