Retrieval and feedback models for blog feed search
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Bloggers as experts: feed distillation using expert retrieval models
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Key blog distillation: ranking aggregates
Proceedings of the 17th ACM conference on Information and knowledge management
Blog site search using resource selection
Proceedings of the 17th ACM conference on Information and knowledge management
Finding Key Bloggers, One Post At A Time
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Finding people and their utterances in social media
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Information Retrieval on the Blogosphere
Foundations and Trends in Information Retrieval
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We consider blog feed search: identifying relevant blogs for a given topic. An individual's search behavior often involves a combination of exploratory behavior triggered by salient features of the information objects being examined plus goal-directed in-depth information seeking behavior. We present a two-stage blog feed search model that directly builds on this insight. We first rank blog posts for a given topic, and use their parent blogs as selection of blogs that we rank using a blog-based model.