TY - JOUR
AU1 - Zhou, Dong
AU2 - Lawless, Séamus
AU3 - Wu, Xuan
AU4 - Zhao, Wenyu
AU5 - Liu, Jianxun
AB - Purpose– With an increase in the amount of multilingual content on the World Wide Web, users are often striving to access information provided in a language of which they are non-native speakers. The purpose of this paper is to present a comprehensive study of user profile representation techniques and investigate their use in personalized cross-language information retrieval (CLIR) systems through the means of personalized query expansion. Design/methodology/approach– The user profiles consist of weighted terms computed by using frequency-based methods such as tf-idf and BM25, as well as various latent semantic models trained on monolingual documents and cross-lingual comparable documents. This paper also proposes an automatic evaluation method for comparing various user profile generation techniques and query expansion methods. Findings– Experimental results suggest that latent semantic-weighted user profile representation techniques are superior to frequency-based methods, and are particularly suitable for users with a sufficient amount of historical data. The study also confirmed that user profiles represented by latent semantic models trained on a cross-lingual level gained better performance than the models trained on a monolingual level. Originality/value– Previous studies on personalized information retrieval systems have primarily investigated user profiles and personalization strategies on a monolingual level. The effect of utilizing such monolingual profiles for personalized CLIR remains unclear. The current study fills the gap by a comprehensive study of user profile representation for personalized CLIR and a novel personalized CLIR evaluation methodology to ensure repeatable and controlled experiments can be conducted.
TI - A study of user profile representation for personalized cross-language information retrieval
JF - Aslib Journal of Information Management
DO - 10.1108/AJIM-06-2015-0091
DA - 2016-07-18
UR - https://www.deepdyve.com/lp/emerald-publishing/a-study-of-user-profile-representation-for-personalized-cross-language-8d8KSLeiwc
SP - 448
EP - 477
VL - 68
IS - 4
DP - DeepDyve
ER -