Semantic Contextualisation of Social Tag-Based Profiles and Item Recommendations

• Published in: E-Commerce and Web Technologies pp. 101 - 113
• Main Authors: Cantador, Iván, Bellogín, Alejandro, Fernández-Tobías, Ignacio, López-Hernández, Sergio
• Format: Book Chapter
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2011
• Series: Lecture Notes in Business Information Processing
• Subjects: ambiguity; clustering; folksonomy; recommender systems; semantic contextualisation; social tagging; user modelling
• ISBN: 9783642230134; 364223013X
• ISSN: 1865-1348; 1865-1356
• DOI: 10.1007/978-3-642-23014-1_9

We present an approach that efficiently identifies the semantic meanings and contexts of social tags within a particular folksonomy, and exploits them to build contextualised tag-based user and item profiles. We apply our approach to a dataset obtained from Delicious social bookmarking system, and evaluate it through two experiments: a user study consisting of manual judgements of tag disambiguation and contextualisation cases, and an offline study measuring the performance of several tag-powered item recommendation algorithms by using contextualised profiles. The results obtained show that our approach is able to accurately determine the actual semantic meanings and contexts of tag annotations, and allow item recommenders to achieve better precision and recall on their predictions.