@inbook{c60d6b1f250f450e88bd5feff5b08953,
title = "A Personalised Recommendation System for Context-Aware Suggestions",
abstract = "The recently introduced TREC Contextual Suggestion track proposes the problem of suggesting contextually relevant places to a user visiting a new city based on his/her preferences and the location of the new city. In this paper we introduce a more sophisticated approach to this problem which very carefully constructs user profiles in order to provide more accurate and relevant recommendations. Based on the track evaluations we demonstrate that our system not only significantly outperforms a baseline method but also performs very well in comparison to other runs submitted to the track, managing to achieve the best results in nearly half of all test contexts.",
author = "Andrei Rikitianskii and Morgan Harvey and Fabio Crestani",
year = "2014",
doi = "10.1007/978-3-319-06028-6_6",
language = "English",
isbn = "978-3-319-06027-9",
volume = "8416",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "63--74",
editor = "{de Rijke}, Maarten and Tom Kenter and {de Vries}, {Arjen P.} and ChengXiang Zhai and {de Jong}, Franciska and Kira Radinsky and Katja Hofmann",
booktitle = "Advances in Information Retrieval",
address = "Germany",
note = "Advances in Information Retrieval - 36th European Conference on {IR} Research, {ECIR} 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings ; Conference date: 01-01-2014",
}