Recommendations in social media for brand monitoring

TitleRecommendations in social media for brand monitoring
Publication TypeConference Papers
Year of Publication2011
AuthorsWu S, Rand W, Raschid L
Conference NameProceedings of the fifth ACM conference on Recommender systems
Date Published2011///
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-0683-6
Keywordsblog, brand monitoring, recommendation, social media

We present a recommendation system for social media that draws upon monitoring and prediction methods. We use historical posts on some focal topic or historical links to a focal blog channel to recommend a set of authors to follow. Such a system would be useful for brand managers interested in monitoring conversations about their products. Our recommendations are based on a prediction system that trains a ranking Support Vector Machine (RSVM) using multiple features including the content of a post, similarity between posts, links between posts and/or blog channels, and links to external websites. We solve two problems, Future Author Prediction (FAP) and Future Link Prediction (FLP), and apply the prediction outcome to make recommendations. Using an extensive experimental evaluation on a blog dataset, we demonstrate the quality and value of our recommendations.