Understanding user intent on the web through interaction mining |
| |
| Affiliation: | 1. University of Naples Federico II, 80121 Campi Flegrei, Naples, Italy;2. Digital Painting Restoration, Salerno, Italy;3. Sapienza University of Rome, Via Salaria, 113, Rome, Italy;4. University of Salerno, 84084 Fisciano, Salerno, Italy;2. Division of General Surgery, Southern Illinois University School of Medicine, Springfield, Illinois;1. Department of Physics, Trakya University, Edirne 22030, Turkey;2. Department of Mathematics, Trakya University, Edirne 22030, Turkey;1. HMI Group, University of Twente, PO Box 217, NL-7500 AE Enschede, The Netherlands;2. Università Ca? Foscari Venezia, Via Torino 155, Venezia, Italy;3. HMI Group, University of Twente, PO Box 217, NL-7500 AE Enschede, The Netherlands |
| |
| Abstract: | Predicting the goals of internet users can be extremely useful in e-commerce, online entertainment, and many other internet-based applications. One of the crucial steps to achieve this is to classify internet queries based on available features, such as contextual information, keywords and their semantic relationships. Beyond these methods, in this paper we propose to mine user interaction activities to predict the intent of the user during a navigation session. However, since in practice it is necessary to use a suitable mix of all such methods, it is important to exploit all the mentioned features in order to properly classify users based on their common intents. To this end, we have performed several experiments aiming to empirically derive a suitable classifier based on the mentioned features. |
| |
| Keywords: | User intent understanding HCI features Web search User behavior mining Query classification |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
