Document Type
Report
Publication Date
2008
Abstract
Spotting contextually relevant keywords is fundamental to effective content suggestions on the Web. In this regard, misspellings, entity variations and off-topic discussions in content from Social Media pose unique challenges. Here, we present an algorithm that assists content delivery systems by identifying contextually relevant keywords and eliminating off-topic keywords. A preliminary user study over data from MySpace and Facebook clearly suggests the usefulness of our work in delivering more targeted content suggestions.
Repository Citation
Nagarajan, M.,
Baid, K.,
Sheth, A. P.,
& Wang, S.
(2008). Targeted Content Delivery for Social Media Content. .
https://corescholar.libraries.wright.edu/knoesis/723
Included in
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