Personalizing web sites for mobile users
Proceedings of the 10th international conference on World Wide Web
mPERSONA: personalized portals for the wireless user: An agent approach
Mobile Networks and Applications
Combining fuzzy logic and semantic web to enable situation-awareness in service recommendation
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part I
Role-Task model for advanced task-based service navigation system
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Construction and use of role-ontology for task-based service navigation system
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
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Mobile access to the Internet is increasing drastically, and this is raising the importance of information retrieval via mobile units. We have developed a task-oriented service navigation system [6] that allows a user to find the mobile contents desired from the viewpoint of the task that the user wants to do. However, the user is still faced with the problem of having to select the most appropriate task from among the vast number of task candidates; this is difficult due to the fact that mobile devices have several limitations such as small displays and poor input methods. This paper tackles this issue by proposing a framework for retrieving only those tasks that suit the abstraction level of the user’s intention. If the user has settled on a specific object, the abstraction level is concrete, and tasks related to the handling of the specific object are selected; if not, tasks related to general objects are selected. Finally, we introduce two task retrieval applications that realize the proposed framework. By using this framework, we can reduce the number of retrieved tasks irrelevant to the user; simulations show that roughly 30% fewer tasks are displayed to the user as retrieval results.