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Please use this identifier to cite or link to this item: http://hdl.handle.net/2262/63758

Title: Improving Query and Result List Adaptation in Personalized Multilingual Information Retrieval
Other Titles: 34th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011)
Author: GHORAB, MOHAMMED RAMI ELHUSSEIN
Sponsor: 
Name Grant Number
07/CE/I1142

Author's Homepage: http://people.tcd.ie/ghorabm
Keywords: Personalized Multilingual Information Retrieval
User Modeling
Issue Date: Jul-2011
Publisher: ACM
Citation: M. Rami Ghorab, Improving Query and Result List Adaptation in Personalized Multilingual Information Retrieval, 34th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011), Beijing, China, July 24-28, ACM, 2011, 1323 - 1324
Abstract: This research study aims to improve personalization in MIR systems, by improving the relevance of multilingual search results with respect to the user and not just the query. The study investigates how to model different aspects of a multilingual search user. Information about users can be demographic information, such as language and country, or information about the user’s search interests. This information can be gathered explicitly by asking the user to supply the required information or implicitly by inferring the information from the user’s search history. The study will then investigate how to exploit the modeled user information to personalize the user’s multilingual search by performing query and result list adaptation. The main research questions that are addressed in this study are: how to improve the relevance of search results with respect to individual users in PMIR and how to construct profiles that represent aspects and interests of a multilingual search user.
Description: PUBLISHED
URI: http://hdl.handle.net/2262/63758
Related links: http://dl.acm.org/citation.cfm?id=2009916.2010181
Appears in Collections:Computer Science (Scholarly Publications)

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