Abstract
In interactive intent modeling the user participates in constructing a model of her search intent using an interactive user interface. This allows the user to iteratively refine the model used for personalizing her search results, even in the presence of high initial uncertainty of the search intent. This approach for personalization has been shown to be beneficial in exploratory information retrieval. This extended abstract summarizes the key results from past studies and suggests possibilities for the generalization of this approach.
| Original language | English |
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| Title of host publication | ICML 2016 Workshop on Computational Frameworks for Personalization |
| Number of pages | 6 |
| Publication status | Published - 24 Jun 2016 |
| MoE publication type | Not Eligible |
| Event | ICML Workshop on Computational Frameworks for Personalization - New York, United States Duration: 24 Jun 2016 → 24 Jun 2016 https://sites.google.com/site/icml2016ersonalization/ |
Workshop
| Workshop | ICML Workshop on Computational Frameworks for Personalization |
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| Country/Territory | United States |
| City | New York |
| Period | 24/06/2016 → 24/06/2016 |
| Internet address |