Difference between revisions of "TaskSieve"
From PAWS Lab
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In this system, a special type of the user model is supported called as a task model. It is aimed at supporting information analysts who are required to solve a specific task. A very short term user model is constructed to model each different user task and personalization is made with the task models. A post filtering approach was applied to this purpose. The ad-hoc retrieval results triggered by user queries were re-ordered using the task model so that more relevant documents to the task model should be ranked up in the lists. In terms of the interface, we added a control with which users can control the effects of the query and the task model according to their needs and the context. | In this system, a special type of the user model is supported called as a task model. It is aimed at supporting information analysts who are required to solve a specific task. A very short term user model is constructed to model each different user task and personalization is made with the task models. A post filtering approach was applied to this purpose. The ad-hoc retrieval results triggered by user queries were re-ordered using the task model so that more relevant documents to the task model should be ranked up in the lists. In terms of the interface, we added a control with which users can control the effects of the query and the task model according to their needs and the context. | ||
[[Image:TaskSieve.png|frame|center|TaskSieve system]] | [[Image:TaskSieve.png|frame|center|TaskSieve system]] | ||
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+ | == Publications == | ||
+ | <onlyinclude> | ||
+ | * Ahn, J., Brusilovsky, P., He, D., Grady, J., and Li, Q. (2008) '''Personalized Web Exploration with Task Models'''. In: Proceedings of the 17th international conference on World Wide Web, WWW '08, Beijing, China, April 21-25, 2008. | ||
+ | </onlyinclude> |
Latest revision as of 02:12, 11 December 2009
In this system, a special type of the user model is supported called as a task model. It is aimed at supporting information analysts who are required to solve a specific task. A very short term user model is constructed to model each different user task and personalization is made with the task models. A post filtering approach was applied to this purpose. The ad-hoc retrieval results triggered by user queries were re-ordered using the task model so that more relevant documents to the task model should be ranked up in the lists. In terms of the interface, we added a control with which users can control the effects of the query and the task model according to their needs and the context.
Publications
- Ahn, J., Brusilovsky, P., He, D., Grady, J., and Li, Q. (2008) Personalized Web Exploration with Task Models. In: Proceedings of the 17th international conference on World Wide Web, WWW '08, Beijing, China, April 21-25, 2008.