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| Content Provider | ACM Digital Library |
|---|---|
| Author | Wang, Kun Dewan, Prasun Carter, Jason Long, Duri Dillon, Nicholas |
| Abstract | Recently, there has been research on inferring user emotions. Like other inference research, it requires an iterative process in which what-if scenarios are played with different features and algorithms. Traditional, general-purpose data mining tools such as Weka have played an important part in promoting this process. We have augmented this toolset with an additional interactive test-bed designed for prediction and communication of programmer difficulties from user-interface commands. It provides end-user interfaces for communicating, correcting, and reacting to the predictions. In addition, it offers researchers user-interfaces for interacting with the prediction process as it is executed rather than, as in traditional mining tools, after it has generated data for a set of experimental subjects. These user-interfaces can be used to determine key elements of the prediction process, why certain wrong or right predictions have been made, and change parameters of the process. A video demonstration this work is available at http://youtu.be/09LpDIPG5h8. |
| Starting Page | 25 |
| Ending Page | 28 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450333085 |
| DOI | 10.1145/2732158.2732177 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-03-29 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Recommender systems |
| Content Type | Text |
| Resource Type | Article |
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