Unpublished Paper
Targeted Content Delivery for Social Media Content
Kno.e.sis Publications
Document Type
Report
Publication Date
1-1-2008
Disciplines
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.
Citation Information
Meenakshi Nagarajan, Kamal Baid, Amit P. Sheth and Shaojun Wang. "Targeted Content Delivery for Social Media Content" (2008) Available at: http://works.bepress.com/amit_sheth/309/