Personalization of Search Results using Interactive Intent Modeling

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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 languageEnglish
Title of host publicationICML 2016 Workshop on Computational Frameworks for Personalization
Number of pages6
Publication statusPublished - 24 Jun 2016
MoE publication typeNot Eligible
EventICML Workshop on Computational Frameworks for Personalization - New York, United States
Duration: 24 Jun 201624 Jun 2016
https://sites.google.com/site/icml2016ersonalization/

Workshop

WorkshopICML Workshop on Computational Frameworks for Personalization
CountryUnited States
CityNew York
Period24/06/201624/06/2016
Internet address

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