@inproceedings{e83288b80ff34f5ca8af83d289c4a000,
title = "A language modeling approach to personalized search based on users' microblog behavior",
abstract = "Personalized Web search offers a promising solution to the task of user-tailored information-seeking, and particularly in cases where the same query may represent diverse information needs. A significant component of any Web search personalization model is the means with which to model a user's interests and preferences to build what is termed as a user profile. This work explores the use of the Twitter microblog network as a source of user profile construction for Web search personalization. We propose a statistical language modeling approach taking into account various features of a user's Twitter network. The richness of the Web search personalization model leads to significant performance improvements in retrieval accuracy. Furthermore, the model is extended to include a similarity measure which further improves search engine performance.",
author = "Arjumand Younus and Colm O'Riordan and Gabriella Pasi",
year = "2014",
doi = "10.1007/978-3-319-06028-6\_83",
language = "English",
isbn = "9783319060279",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "727--732",
booktitle = "Advances in Information Retrieval - 36th European Conference on IR Research, ECIR 2014, Proceedings",
note = "36th European Conference on Information Retrieval, ECIR 2014 ; Conference date: 13-04-2014 Through 16-04-2014",
}