A Personalised Recommendation System for Context-Aware Suggestions

Rikitianskii, Andrei, Harvey, Morgan and Crestani, Fabio (2014) A Personalised Recommendation System for Context-Aware Suggestions. In: Advances in Information Retrieval. Lecture Notes in Computer Science, 8416 . Springer, London, pp. 63-74. ISBN 978-3-319-06027-9

[img] Text
Restricted to Repository staff only

Download (452kB) | Request a copy
Official URL: http://dx.doi.org/10.1007/978-3-319-06028-6_6


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.

Item Type: Book Section
Subjects: G400 Computer Science
G500 Information Systems
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Related URLs:
Depositing User: Morgan Harvey
Date Deposited: 27 Apr 2015 12:09
Last Modified: 01 Aug 2021 01:51
URI: http://nrl.northumbria.ac.uk/id/eprint/22213

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics