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AMT
2010
Springer

Contextual Recommendation of Social Updates, a Tag-Based Framework

10 years 2 months ago
Contextual Recommendation of Social Updates, a Tag-Based Framework
Abstract. In this paper, we propose a framework to improve the relevance of awareness information about people and subjects, by adapting recommendation techniques to real-time web data, in order to reduce information overload. The novelty of our approach relies on the use of contextual information about people's current activities to rank social updates which they are following on Social Networking Services and other collaborative software. The two hypothesis that we are supporting in this paper are: (i) a social update shared by person X is relevant to another person Y if the current context of Y is similar to X's context at time of sharing; and (ii) in a web-browsing session, a reliable current context of a user can be processed using metadata of web documents accessed by the user. We discuss the validity of these hypothesis by analyzing their results on experimental data.
Adrien Joly, Pierre Maret, Johann Daigremont
Added 08 Nov 2010
Updated 08 Nov 2010
Type Conference
Year 2010
Where AMT
Authors Adrien Joly, Pierre Maret, Johann Daigremont
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